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This dataset was created by Meher Deepak-2005

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This dataset was created by XuChenLong

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This dataset was created by Heqing_HappyStar

Released under CC0: Public Domain

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This dataset was created by Bruno G. do Amaral

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This dataset was created by LYLyyds

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This dataset was created by Camaro

Released under CC0: Public Domain

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Dataset

This dataset was created by Vinicius Suaiden

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This dataset contains the official pretrained weights of clip, released by OpenAI.

The LJ Speech Dataset

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. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of approximately 24 hours.

The texts were published between 1884 and 1964, and are in the public domain. The audio was recorded in 2016-17 by the LibriVox project and is also in the public domain.

File Format

Metadata is provided in transcripts.csv. This file consists of one record per line, delimited by the pipe character (0x7c). The fields are: * ID: this is the name of the corresponding .wav file * Transcription: words spoken by the reader (UTF-8) * Normalized Transcription: transcription with numbers, ordinals, and monetary units expanded into full words (UTF-8).

Each audio file is a single-channel 16-bit PCM WAV with a sample rate of 22050 Hz means ~22 k.

Statistics

• Total Clips: 13,100
• Total Words: 225,715
• Total Characters: 1,308,678
• Total Duration: 23:55:17
• Mean Clip Duration: 6.57 sec
• Min Clip Duration: 1.11 sec
• Max Clip Duration: 10.10 sec
• Mean Words per Clip: 17.23
• Distinct Words: 13,821

Miscellaneous

The audio clips range in length from approximately 1 second to 10 seconds. They were segmented automatically based on silences in the recording. Clip boundaries generally align with sentence or clause boundaries, but not always. The text was matched to the audio manually, and a QA pass was done to ensure that the text accurately matched the words spoken in the audio. The original LibriVox recordings were distributed as 128 kbps MP3 files. As a result, they may contain artifacts introduced by the MP3 encoding. The following abbreviations appear in the text. They may be expanded as follows:

  Abbreviation  Expansion
  Mr. Mister
  Mrs.  Misess (*)
  Dr. Doctor
  No. Number
  St. Saint
  Co. Company
  Jr. Junior
  Maj.  Major
  Gen.  General
  Drs.  Doctors
  Rev.  Reverend
  Lt. Lieutenant
  Hon.  Honorable
  Sgt.  Sergeant
  Capt.  Captain
  Esq.  Esquire
  Ltd.  Limited
  Col.  Colonel
  Ft. Fort

(*) there's no standard expansion for "Mrs." 19 of the transcriptions contain non-ASCII characters (for example, LJ016-0257 contains "raison d'être"). Example code using this dataset to train a speech synthesis model can be found at: github.com/keithito/tacotron. For more information or to report errors, please email kito@kito.us.

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This dataset was created by The Devastator

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This dataset was created by Leonid Kulyk

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This dataset was created by Leonid Kulyk

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This dataset was created by Kevin(Zeming) Wang

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This dataset was created by kirito174

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This dataset was created by prakash

Released under Data files © Original Authors

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This dataset was created by JiangShaoYin

Released under CC0: Public Domain

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This dataset was created by Mathurin Aché

Released under CC BY-NC-SA 4.0

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