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README.md

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 language:
 - en
 pretty_name: Device and Produced Speech Dataset
----
+---
+
+DAPS Dataset
+============
+
+
+Created By
+----------
+
+Gautham J. Mysore, Adobe Research
+
+
+
+Description
+-----------
+
+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:
+
+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
+
+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.
+
+
+
+Audio Files Included
+--------------------
+
+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.
+
+-----
+
+Description of Studio Recordings - 
+
+The versions are:
+- cleanraw - Original clean studio recording, which includes speech as well as non-speech sounds such as breaths and mouth sounds.
+- clean - A version of cleanraw with most of the non-speech sounds carefully removed by a professional sound engineer.
+- 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.
+
+The file naming convention is:
+speaker_script_version.wav
+
+For example, f2_script4_produced.wav, is the professionally produced version of the second female speaker reading the fourth script .
+
+
+-----
+
+Description of Device Recordings - 
+
+Devices:
+- ipad - An iPad Air was placed on a stand to simulate a person holding it. This recording was done in all environments.
+- ipadflat - An iPad Air was placed flat on a table. This recording was done in two environments.
+- iphone - An iPhone 5S was placed on a stand to simulate a person holding it. This recording was done in three environments.
+
+Environments:
+- office1 - more reverberant office
+- office2 - less reverberant office
+- confroom1 - smaller conference room
+- confroom2 - larger conference room
+- livingroom1 - relatively reverberant living room with occasional traffic noise from outside
+- bedroom1 - bedroom with occasional traffic noise from outside
+- balcony1 - balcony with heavy traffic noise (this was used as a stress test and has significantly higher noise than all other environments)
+
+
+The file naming convention is:
+speaker_script_device_room.wav
+
+For example, m5_script1_ipad_office1.wav, is the iPad recording in the first office of the fifth male speaker reading the first script.
+
+-----
+
+Sample files - 
+
+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.
+
+
+
+Additional Files Included
+------------------------
+
+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.
+
+
+
+Please Acknowledge DAPS in Academic Research
+----------------------------------------------------
+
+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:
+
+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
+
+
+
+License
+----------------------------------------------------
+
+The DAPS dataset is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)