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Other lists that I have found are this wiki, the ISMIR page, this web page, and  005ae625. wav and a. Shared databases are common in other fields of academic research and have frequently made significant contributions to progress in those areas. Breleux’s bugland dataset generator. TensorFlow is a very flexible tool, as you can see, and can be helpful in many machine learning applications like image and sound recognition. It can be useful for research on topics such as automatic lip reading, multi-view face recognition, multi-modal speech recognition and person identification. Since sample rate is the number of samples per second, this returns a segment between 00:01 and 00:02: Then we can create an audio control to play the clip in IPython notebook: I wrote some code to read the timestamps and segment the original audio files. rubberband -t 1. The recordings are   Apr 5, 2017 A large-scale and high-quality dataset of annotated musical notes. y is a numpy array of the audio data. The 6000 events are divided into a training set (composed of 4200 events) and a test set (composed of 1800 events). edu). wavfile; You already have an empty list named zero I assumed: zero = [] Here's the solution (change the path to match your directory): Announcing AudioSet: A Dataset for Audio Event Research. Signature sound — Roll over, Beethoven: Decoding the maestro’s musical style with statistics What makes Beethoven sound like Beethoven? Swiss team used data science to find out. 89MB. The dataset contains a training set of 9,011,219 images, a validation set of 41,260 images and a test set of 125,436 images. In this dataset, the sound files are in . wav This one line terminal command, gives us a new audio file which is 50% longer than original and has pitch shifted up by one octave. Note that wav variable is just a vector with amplitudes in each time interval. wav is the Y channel, up-down bidirectional, from the Soundfield microphone at the 5th  The input data for this job will be disaster and threat-related information from the Red Cross. files containing non-audio features alongside 16-bit PCM WAV audio files. DatasetBuilder that simplifies defining a dataset. Now the dataset builder opens in a new Analytics tab. ucsd. 14 hours ago · They were able to correctly re-identify 99. The complete April 2017 version of the 16kHz dataset occupies 7. Jan 3, 2019 The M-AILABS Speech Dataset is the first large dataset that we are providing Format. There are 30 of them and a special one called _background_noise_ which contains various patterns that could be mixed in to simulate background noise. Basic instructions for making recordings and converting to a format Matlab can read wavelets. Input and output (scipy. This dataset is derived from the one compiled by Ferdinand Fuhrmann in his PhD thesis, with the difference that we provide audio data in stereo format, the annotations in the testing dataset are limited to specific pitched instruments, and there is a different amount and lenght of excerpts. The variety of audio file types is due to the fact that there are quite a few approaches to compressing audio data and a number of different ways of packaging the data. In this paper, experiments were performed on environmental sound dataset. Freesound Dataset Kaggle 2018 (or FSDKaggle2018 for short) is an audio dataset containing 18,873 audio   Oct 26, 2018 With this dataset, we intend to give attention to raw audio The dataset consists in 50 WAV files sampled at 16KHz for 50 different classes. Analytics provided the feature to pull the data from the different sources. To get the dataset please visit the following link and if you want to use this dataset in your research kindly don’t forget to acknowledge. Usage: from keras. TIMIT contains broadband recordings of 630 speakers of eight major dialects of American English, each reading ten phonetically rich sentences. Sales are monitor on the basis of  May 9, 2019 A variety of file types are present in the audio dataset. 2018) which contains along-track altimetry significant wave height measurements  from __future__ import print_function import torch. JSON files containing non-audio features alongside 16-bit PCM WAV audio files. 46GB. The "uspop2002" Pop Music data set. wavdetect operates on the input in two stages. Major advances in this field can result from advances in learning algorithms, computer hardware, and, less-intuitively, the availability of high-quality training datasets. Dataset of 60,000 28x28 grayscale images of the 10 digits, along with a test set of 10,000 images. wav format but if you have files in another format such as . Today, the problem is not finding datasets, but rather sifting through them to keep the relevant ones. The dataset provides an exposure to a variety of sound sources - some very common (laughter, cat meowing, dog bark- ing), some quite distinct (glass breaking, brushing teeth) and then some where the di erences are more nuanced (helicopter and airplane noise). The Speech Commands dataset is an attempt to build a standard training and evaluation dataset for a classof simple speech recognitiontasks. Parkinson Speech Dataset with Multiple Types of Sound Recordings Data Set Download: Data Folder, Data Set Description. The fifth `CHiME' Speech Separation and Recognition Challenge: Dataset, task and All audio data are distributed as WAV files with a sampling rate of 16 kHz. Nine settings of different pianos and recording conditions were used. The main problem in machine learning is having a good training dataset. Please login in order to export this dataset. Sample recording of Neil Armstrong's first words from the surface of the moon The resulting clips were sent to a local sound engineer for dataset optimization. URBAN-SED is a dataset of 10,000 soundscapes with sound event annotations generated using scaper. He went through the clips and flagged the worst quality examples for removal, while also salvaging rougher ones by He used a dataset containing 11,041 manually labeled audio files from the Orchive tapes, sampled at 44. The first involved contributors writing text phrases to describe symptoms given. Dataset Alerts. path import shutil import errno import torch import torchaudio  DOME (DOminance in MEetings dataset) annotations and dataset (5K CSV). mp3, then it’s good to convert them into . Re: Download sample files and datasets for starters. High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce becau Dataset. Select "Dataset Issue" and provide a link to the impacted dataset. 16 kHz voltage and current from homes 1, 2 and 5. Once loaded, you convert the CSV data to a NumPy array and use it for machine learning. Use Find to search for files with extension . This is a log of known issues with datasets on the portal that are open or being monitored. WAV/AIFF/. To run it, use: The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. The datasets are divided into two tables: Sound events table contains datasets suitable for research in the field of automatic sound event detection and automatic sound tagging. wav she  Mar 25, 2019 For a given audio dataset, can we do audio classification using For example, “ 00044347. I am not sure where he got these samples. The TIMIT corpus of read speech is designed to provide speech data for acoustic-phonetic studies and for the development and evaluation of automatic speech recognition systems. Each recording is labeled with the start and end times of sound events from 10 classes: air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music. High quality audio is obtained by means of Virtual Piano softwares and a Yamaha Disklavier. However, you can take a look at this implementation as a starting point. To visualise what this means, look at this image of a cat I took from the internet. Have you freed your sound today? Conclusion. It works well for datasets that can be generated on a single machine. core. Having such a solution together with an IoT platform allows you to build a smart solution over a very wide area. This dataset is built to ease research on voice-based musical controllers. Creating the streaming dataset in Power BI To create the Power BI streaming dataset, we will go to the powerbi. Each file is a recording of one of thirty words, uttered by different  i want to read a given data set of audio and convert to feature vector to build a machine learning model. Use OData to open the dataset in tools like Excel or Tableau. A similar dataset which was collected for the purposes of music/speech discrimination. wav format. For example, for  MIME type: audio/x-wav. UPF also has an excellent page with datasets for world-music, including Indian art music, Turkish Makam music, and Beijing Opera. . Its subclasses implement: Databases or Datasets for Computer Vision Applications and Testing. Abstract: The training data belongs to 20 Parkinson's Disease (PD) patients and 20 healthy subjects. The dataset contains 1,150 MIDI files and over 22,000 measures of drumming. This generator is based on the O. High-quality labeled training datasets for supervised and semi-supervised machine learning algorithms are usually difficult and expensive to produce becau Explore, download and contribute to our datasets The FSD is a large-scale, general-purpose dataset composed of Freesound content organised by the AudioSet Ontology FSD These datasets are used for machine-learning research and have been cited in peer-reviewed academic journals. Next week, I’ll demonstrate how to implement and train a CNN using Keras to recognize each Pokemon. This is simply an annotated version of the output of the example code display_song. A minimal AIFF sound file therefore consists of a header and a sound chunk. 00c4d5b8. 2016, N. Tableau users should select the OData v2 endpoint option. Feb 21, 2019 Summary This dataset contain attributes of dresses and their recommendations according to their sales. Acoustic Datasets for Machine Learning. Smart cities could use this for security purpose, IRMAS: a dataset for instrument recognition in musical audio signals. Below is a list of all the fields associated with each track in the database. That might sound somewhat academic and perhaps irrelevant to your life, but Ilia WAV Russian Open Speech To Text (STT/ASR) Dataset Anna Slizhikova and Alexander Veysov and Dmitry Voronin and Yuri Baburov WAV Russian Open Speech To Text (STT/ASR) Dataset Anna Slizhikova and Alexander Veysov and Dmitry Voronin and Yuri Baburov The first suitable solution that we found was Python Audio Analysis. wav. The audio files maybe of any standard format like wav, mp3 etc. g. Nov 13, 2018 Here is a list of datasets that I found pretty useful for our research and that I've personally used to make my audio related models perform much  This dataset was used for the well known paper in genre classification " Musical genre The tracks are all 22050Hz Mono 16-bit audio files in . 6 hours of aligned MIDI and (synthesized) audio of human-performed, tempo-aligned expressive drumming. Alerts can be triggered internally or by our users. Urban Sound Datasets. While the FHSs are the most recognizable sounds of the heart cycle, the mechanical activity of the heart may also cause other audible sounds, such as the third heart sound (S3), the fourth heart sound (S4), systolic ejection click (EC), mid-systolic click (MC), diastolic sound or opening snap (OS), as well as heart murmurs caused by the turbulent, high-velocity flow of blood. Since then, we’ve been flooded with lists and lists of datasets. Last Modified: 6/18/19. 005ae625. This dataset contains 1302 labeled sound recordings. @article{, title= {WAV Russian Open Speech To Text (STT/ASR) Dataset}, journal= {}, author= {Anna Slizhikova and Alexander Veysov and Dmitry Voronin and Yuri Baburov Rembetiko dataset: 21 singers, 80 files, with labels at which points there is singing voice or not Traditional cretan dances: for dance music classification, 6 classes, 30 files each class Beat tracking dataset: 20 samples of 30 seconds length of traditional cretan music, with beat annotations Audio data comes in a sometimes bewildering variety of forms. Datasets are an integral part of the field of machine learning. made to owners of Wheelchair Accessible Vehicles (WAVs) from the Taxi Improvement Fund (TIF). . ×. Jul 25, 2018 2- Description 2. csv, 35. The dataset The MIVIA audio events data set is composed of a total of 6000 events for surveillance applications, namely glass breaking, gun shots and screams. wav files is a home computer running Windows. wav format  When using any portion of this data set, cite: For example, Yx04y10. wav files: 1ch 16k […] Download Dataset  Created: 6/18/19. Locate the Dataset TIDIGITS is already split into test and training datasets. Kaggle Datasets Page: A data science site that contains a variety of externally contributed interesting datasets. wav are data files that Matlab can read. Well, we’ve done that for you right here. The WAV audio files inside this directory are organised in sub-folders with the label names. Although a number of scientists have looked at how humans organize sound events, the few existing ontologies proposed have been small and partial. There are many datasets for speech recognition and music classification, but not a lot for random sound classification. The ontology is specified as a hierarchical graph of event categories, covering a wide range of human and animal sounds, musical instruments and genres, and common everyday environmental sounds. WavFileWarning MetaData (rel, attr). If no dataset 259 precedes this dataset, then the entity name will be assumed to exist in model bin number 1. The raw input is surely a . Now you can donate your voice to help us build an open-source voice database that anyone can use to make innovative apps for devices and the web. Let’s try the unbalanced train dataset. The events are divided into a training set composed of 4,200 events and a test set composed of 1,800 events. One channel is whole-house voltage, Datasets for Data Science and Machine Learning. Export Dataset. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours. The first problem we needed to tackle was how we should represent music - notably, it is still a valid problem for our ongoing research. Here, a “dataset” is loosely defined as a group of audio files accompanied by some amount of semantic information that can be useful when training and evaluating algorithms intended to automatically reproduce the information. The number of fundamental ways in which sound can be represented is actually fairly small. containing human voice/conversation with least amount of background noise/music. The Groove MIDI Dataset (GMD) is composed of 13. they were also resampled to 16 KHz WAV files using a similar ffmpeg command. The instructuor uses an Access Database "PowerBI" sample Database. Halabi  Abstract: Generating musical audio directly with neural networks is notoriously difficult because it requires coherently modeling structure at  Mar 22, 2017 The model was trained with VCTK dataset that provides both raw audio python recognize. gz, 19. The 16 kHz data are stored as a sequence of stereo FLAC files ("FLAC" stands for "Free Lossless Audio Codec"). Audio Speech Datasets for Machine Learning. In this three-part blog post series we’re going to build our very own Pokedex: We’ll start today by using the Bing Image Search API to (easily) build our image dataset of Pokemon. We’ll start by creating a streaming dataset in Power BI, and then from there push Twitter sentiment data to that dataset via Flow. Generally, to avoid confusion, in this bibliography, the word database is used for database systems or research and would apply to image database query techniques rather than a database containing images for use in specific applications. Arcade Universe – An artificial dataset generator with images containing arcade games sprites such as tetris pentomino/tetromino objects. 5 -p 2 input. It has a lot more samples, so we will change the number of training epochs to 10 (should change to 5 at least, because it took significant time to train). ~1900, Text, WAV, Speech Synthesis, Speech Recognition, Corpus Alignment, Speech Therapy, Education. Basic Examples (2). Freesound: collaborative database of creative-commons licensed sound for musicians and sound lovers. Record 10 is ignored by System Dynamics Analysis unless load case = 0. datasets import mnist (x_train, y_train), (x_test, y_test) = mnist. We have kept the page as it seems to still be usefull (if you know any database or if you want us to add a link to data you are distributing on the Internet, send us an email at arno sccn. _as_dataset: to produce a tf. com and “Streaming datasets. A simple audio/speech dataset consisting of recordings of spoken digits in wav files at 8kHz. wav output. Individual lapels   Oct 1, 2013 not all mutually compatible; and files are in various formats (e. A curated list of MIDI sources can be found here . File count: 124,599. Data representation. wav'  showing that our preliminary results are promisingly comparable to the state-of- the-art. Select Salesforce as the data source, and then click Continue. They are recordings of Craig Zirbel saying "wavelets" and long "a". 1 kHz. The LJ Speech Dataset. de for MIDI files and freesound. A log of dataset alerts open, monitored or resolved on the open data portal. 1. A list of datasets for various music information retrieval tasks. Although a number of the current studies for heart sound classification are flawed because of 1) good performance on carefully-selected data, 2) lack of a separate test dataset, 3) failure to use a variety of PCG recordings, or 4) validation only on clean recordings, these methods have demonstrated potential to accurately detect pathology in MAPS Database – A piano database for multipitch estimation and automatic transcription of music. io)¶ SciPy has many modules, classes, and functions available to read data from and write data to a variety of file formats. For example, you can download the Pima Indians dataset into your local directory (update: download from here ). These images have been annotated with image-level labels bounding boxes spanning thousands of classes. A support vector machine (SVM) using a radial basis function kernel resulted in an ACC Dataset Title: sound velocity (SVEL) Trajectory: Institution: EMODnet Physics (Dataset ID: EP_INSITU_SVEL_TR) Range: Ensemble learning, a new kind of method presented recently, has been an effective way to improve the accuracy of classification in feature selection. 51MB. May 17, 2019 Write a numpy array as a WAV file. wav file and load them all in; You want to append only the audio data data and not the sample_rate as returned from scipy. For the fields that include a large amount of numerical data, we indicate only the shape of the data array. wav file, containing the pure signal - there are no metadata on instruments included, author, etc. data as data import os import os. In addition to sound chunks, a variety of other chunks are possible, including markers of positions in the waveform data, MIDI synthesizer commands, and comments. You can  THIS DATASET IS UPDATED SEVERAL TIMES PER DAY. The VidTIMIT dataset is comprised of video and corresponding audio recordings of 43 people, reciting short sentences. This dataset contains 8732 labeled sound excerpts (<=4s) of urban sounds from 10 classes: air_conditioner, car_horn, children_playing, dog_bark, drilling, enginge_idling, gun_shot, jackhammer, siren, and street_music. This imports a WAV file: Use Play to generate sampled sound and export it to WAV: . Mivia Audio Events Dataset: This dataset includes 6,000 events of surveillance applications, namely glass breaking, gunshots, and screams. MAPS is composed of about 31 GB of CD-quality recordings in . load_data() Returns: 2 tuples: x_train, x_test: uint8 array of grayscale image data with shape (num_samples, 28, 28). The dataset totals almost 30 hours and includes close to 50,000 annotated sound events. File Types: txt, wav. data. Small container to keep useful information on a ARFF dataset. 1- Audio recordings: The annotated dataset was developed Hive1_12_06_2018_QueenBee_H1_audio___15_00_00. AudioSet: AudioSet is an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The current set of uspop files in use at LabROSA has only 8752 items, listed in this file . Sample Audio: Apollo 11 One Small Step. It can help to benchmark voice feature detection algorithms (pitch detection, onset detection) as well as form a training corpus A sound vocabulary and dataset AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. py --file asset/data/wav48/p236/p236_005. All audio-files are in wav-format, mono and 16000 Hz. 98% of users from a given dataset, even when the dataset was incomplete. tar. You’ll find both hand-picked datasets and our favorite aggregators. Free Spoken Digit Dataset (FSDD). 6. From all subjects, multiple types of sound recordings (26) are taken. Its primary Datasets. The NSynth dataset can be download in two formats: TFRecord files of serialized TensorFlow Example protocol buffers with one Example proto per note. You can report issues with datasets on our help desk. This includes topics like illness, injuries, and natural disasters. A simple audio/speech dataset consisting of recordings of spoken digits in wav files at 8kHz. io. wav Figure 1: Audio and video snapshot examples (from left): KL (angry), JK (happy), JE (sad) and DC (neutral). The dataset consists of 120 tracks, each 30 seconds long. wav . 1+3. The audio data in an AIFF file is always uncompressed PCM. Open Images is a dataset of almost 9 million URLs for images. University of Surrey | Register | Contact Us Back then, it was actually difficult to find datasets for data science and machine learning projects. Below, you’ll find a curated list of free datasets for data science and machine learning, organized by their use case. For example, all one-second audio files of people speaking the word “bed” are inside the bed directory. wav files in a folder; Need to loop through each . Sound recording on Silicon Graphics machines A good source for . @article{, title= {WAV Russian Open Speech To Text (STT/ASR) Dataset}, journal= {}, author= {Anna Slizhikova and Alexander Veysov and Dmitry Voronin and Yuri Baburov AIFF Files. DOI. The classes are drawn from the urban sound taxonomy. utils. Acoustic scenes table contains datasets suitable for research involving the audio-based context recognition and acoustic scene classification. The top three media types across the set are “audio/mpeg” (38%), “audio/x-wav” (25%),  These data are part of the SiSEC 2010 noisy speech dataset (external link) The data consist of 44 stereo WAV audio files that can be imported in Matlab using  Sep 13, 2013 data: http://isophonics. net/content/room-impulse-response-data-set a plug-in is required in order to extract IR's in . VoxCeleb is an audio-visual dataset consisting of short clips of human speech, extracted The dataset consists of two versions, VoxCeleb1 and VoxCeleb2. path to a wav-format file or it is a bash command that will output wav-format data   Jul 25, 2018 o dataset-wav-alti-l3-rt-global-al (internal diffusion from Feb. asr_public_phone_calls_2. Load CSV with Python Standard Library. DeliciousMIL: A Data Set for Multi-Label Multi-Instance Learning with Instance Labels Dataset. Each FLAC file is about 200 MBytes. These words are pulled from the test portion of your current dataset, mixed in with background noise. 6 TBytes. Download the GTZAN music/speech collection (Approximately 297MB) Speech audio files dataset with language labels. Feb 6, 2019 The dataset consists of ~ 65,000 WAV files, of length one second or less. py. After some research, we found the urban sound dataset. Have you freed your sound today? By default this will create a ten minute . sr is the sample rate. csv, 83. There is no built-in operation specific for importing audio-data. How to find the 13 MFCC features from a wav file ? These datasets are used for machine-learning research and have been cited in peer-reviewed with stress marks. Use Matlab as below to read the files. wav” from training dataset will sound like this. Acoustic scene classification and Sound event detection in real life audio. Each class (music/speech) has 60 examples. Beginning with Level 5, entity names will be ignored if this dataset is preceded by dataset 259. Lapel mix, 30M, single wav file, not available with TS meetings. (2003). These datasets are used for machine-learning research and have been cited in peer-reviewed academic journals. wav Sep 19, 2018 The further information about the dataset can be found here. wav'; ' / toolbox/audio/samples/ChurchImpulseResponse-16-44p1-mono-5secs. The tracks are all 22050Hz Mono 16-bit audio files in . Its purposes are: To encourage research on algorithms that scale to commercial sizes 50 . asr_public_phone_calls_1. ” Dataset Alerts. org for audio files. Open Images Dataset. To build our own, we searched the web for phrases like “Sounds, such as X and Y”, or “X, Y, and other sounds”. matlab/toolbox/audio/samples/AudioArray-16-16-4channels-20secs. Its purposes are: To encourage research on algorithms that scale to commercial sizes snoring sounds (32) Most recent Oldest Shortest duration Longest duration Any Length 2 sec 2 sec - 5 sec 5 sec - 20 sec 20 sec - 1 min > 1 min All libraries make this noise Rebecca Parnell Radio Mall SFX Bible Airborne Sound BLASTWAVE FX Nightingale Voice Box SFX Source Big Room Sound Krotos Audio Articulated Sounds CA Sound Alan McKinney How to create Dataset? In the Analytics app, click on the Create button and click on the Dataset. A transcription is provided for each clip. The baseline systems will download automatically the needed datasets and produce the reported baseline results when ran with the default parameters. This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. May 19, 2019 Path, Size. Human Voice Dataset. The baseline systems for task 1 and task 3 share the code base, and implements quite similar approach for both tasks. The Million Song Dataset is a freely-available collection of audio features and metadata for a million contemporary popular music tracks. datasets encourages collaborations across groups and enables apples-for-apples comparisonsbetween differ-ent approaches, helping the whole field move forward. For 1,006 instruments from commercial sample libraries, we generated four second, monophonic 16kHz audio snippets, referred to as notes, by ranging over every pitch of a standard MIDI pian o (21-108) as well as five different velocities (25, 50, 75, 100, 127). Dataset from the serialized data; Most datasets subclass tfds. This is yet another attempt of maintaining a list of datasets directly related to MIR. WAV/AIFF/ MP3/Ogg, number of. The RWC Music Database is the world's first large-scale music database compiled specifically for research purposes. The recordings are trimmed so that they have near minimal silence at the beginnings and ends. 2009-03-16: If you have a set of the uspop2002 DVDs, be sure to check our errata which details a problem causing NaNs in 24 of the data files. …and now I’m going to build one. This Figure Eight dataset was created via a multi-job workflow. GeneratorBasedBuilder, which is a subclass of tfds. This provides a direct connection to the data that can be refreshed on-demand within the connected application. First it detects possible source pixels in a dataset by repeatedly correlating it with "Mexican Hat" wavelet functions  The dataset is designed for use in research related to data mining in audio archives of field recordings various formats (e. This time, we at Lionbridge combed the web and compiled this ultimate cheat sheet for public audio datasets for machine learning. You can find all kinds of niche datasets in its master list, from ramen ratings to basketball data to and even Seattle pet licenses. NSynth is an audio dataset containing 305,979 musical notes, each with a unique pitch, timbre, and envelope. I am unable to find any such dataset. wav file with words roughly every three seconds, and a text file containing the ground truth of when each word was spoken. The Python API provides the module CSV and the function reader() that can be used to load CSV files. MP3/ Ogg, number of channels, sample-rate, duration) which can  Describes an audio dataset [1] of spoken words designed to help train and . Two additional general resources are piano-midi. Dataset description 1284 . Power BI Desktop Data Transformations > Transforming Data using Power BI Desktop > Connecting to a Database If you can direct me to the exact location it would be great, Since there was no public database for EEG data to our knowledge (as of 2002), we had decided to release some of our data on the Internet. Network Dataset Background An undirected social network of frequent associations between 62 dolphins in a community living off Doubtful Sound, New Zealand, as compiled by Lusseau et al. A collection of human voice records based on various way of singing (note pitch, voyel, consonant, etc). Can someone share link of any speech dataset that may be good for this research. Common Voice is a project to help make voice recognition open to everyone. wav dataset

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