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--- |
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language: |
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- en |
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pretty_name: Device and Produced Speech Dataset |
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--- |
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DAPS Dataset |
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============ |
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## Features Format |
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```json |
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{ |
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'recording_environment': Value(dtype='string', id=None), |
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'speaker_id': Value(dtype='string', id=None), |
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'script_id': Value(dtype='string', id=None), |
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'clean_path': Value(dtype='string', id=None), |
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'produced_path': Value(dtype='string', id=None), |
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'device_path': Value(dtype='string', id=None), |
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'clean_audio': Audio(sampling_rate=44100, mono=True, decode=True, id=None), |
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'produced_audio': Audio(sampling_rate=44100, mono=True, decode=True, id=None), |
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'device_audio': Audio(sampling_rate=44100, mono=True, decode=True, id=None) |
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} |
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``` |
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Created By |
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---------- |
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Gautham J. Mysore, Adobe Research |
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Description |
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----------- |
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The DAPS (Device and Produced Speech) dataset is a collection of aligned versions of professionally produced studio speech recordings and recordings of the same speech on common consumer devices (tablet and smartphone) in real-world environments. It has 15 versions of audio (3 professional versions and 12 consumer device/real-world environment combinations). Each version consists of about 4 1/2 hours of data (about 14 minutes from each of 20 speakers). Please see this paper for a detailed description of the dataset: |
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Gautham J. Mysore, “Can We Automatically Transform Speech Recorded on Common Consumer Devices in Real-World Environments into Professional Production Quality Speech? - A Dataset, Insights, and Challenges”, in the IEEE Signal Processing Letters, Vol. 22, No. 8, August 2015 |
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The primary goal of the dataset is to help develop methods to automatically convert real-world device recordings into professional sounding recordings. It can be also used for various other applications like voice conversion, traditional speech enhancement, and automatic production of studio recordings. |
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Audio Files Included |
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-------------------- |
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Each version contains 100 wave files - 20 speakers reading 5 scripts each (about 14 minutes of data per speaker). We provide a separate folder for each version. |
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----- |
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Description of Studio Recordings - |
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The versions are: |
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- cleanraw - Original clean studio recording, which includes speech as well as non-speech sounds such as breaths and mouth sounds. |
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- clean - A version of cleanraw with most of the non-speech sounds carefully removed by a professional sound engineer. |
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- produced - A version of clean with effects and processing such as EQ and compression applied by the same sound engineer. This is the final studio version. |
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The file naming convention is: |
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speaker_script_version.wav |
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For example, f2_script4_produced.wav, is the professionally produced version of the second female speaker reading the fourth script . |
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----- |
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Description of Device Recordings - |
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Devices: |
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- ipad - An iPad Air was placed on a stand to simulate a person holding it. This recording was done in all environments. |
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- ipadflat - An iPad Air was placed flat on a table. This recording was done in two environments. |
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- iphone - An iPhone 5S was placed on a stand to simulate a person holding it. This recording was done in three environments. |
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Environments: |
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- office1 - more reverberant office |
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- office2 - less reverberant office |
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- confroom1 - smaller conference room |
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- confroom2 - larger conference room |
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- livingroom1 - relatively reverberant living room with occasional traffic noise from outside |
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- bedroom1 - bedroom with occasional traffic noise from outside |
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- balcony1 - balcony with heavy traffic noise (this was used as a stress test and has significantly higher noise than all other environments) |
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The file naming convention is: |
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speaker_script_device_room.wav |
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For example, m5_script1_ipad_office1.wav, is the iPad recording in the first office of the fifth male speaker reading the first script. |
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----- |
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Sample files - |
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In the sample folder, we provide all versions of a single speaker reading a single script. It is a quick way to listen to the differences between versions. We also provide an Adobe Audition session file with all sample files for convenience. |
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Additional Files Included |
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------------------------ |
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The folder called supplementary_files contains the actual scripts read by the speakers as well as a set of Matlab files to assist in creating new device recordings. |
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Please Acknowledge DAPS in Academic Research |
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---------------------------------------------------- |
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When DAPS is used for academic research, we would highly appreciate it if scientific publications of works partly based on the DAPS dataset cite the following publication: |
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Gautham J. Mysore, “Can We Automatically Transform Speech Recorded on Common Consumer Devices in Real-World Environments into Professional Production Quality Speech? - A Dataset, Insights, and Challenges”, in the IEEE Signal Processing Letters, Vol. 22, No. 8, August 2015 |
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License |
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---------------------------------------------------- |
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The DAPS dataset is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) |
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