Total Size: 97G

Sign In to Download.

Dataset Overview

Dataset Type

speaker recognition corpus

Language

Chinese

Speech Style

multi-media sources

Content

free text

Audio Parameters

16 kHz, 16 bits, mono

File Format

WAV (PCM) TXT (UTF8)

Recording Equipment

Bilibili, Changba, Himalaya, NetEase Cloud, Tik Tok

Recording Environment

mult-genre: Advertisement, Drama, Entertainment, Interview, Live Broadcast, Movie, Play, Recitation, Singing, Speech, Vlog

License

Attribution-ShareAlike 4.0 International

Popular Datasets

Mandarin Chinese Scripted Speech Corpus – in-Vehicle Scene

Open Source

6.13 hours

ASR Corpus

3.09 GB

Guangzhou Cantonese Conversational Speech Corpus

Open Source

4.25 hours

ASR Corpus

378 MB

Wuhan Dialect Scripted Speech Corpus – Daily Use Sentence

Open Source

5.08 hours

ASR Corpus

436.14 MB

Mandarin Chinese Scripted Speech Corpus – Daily Use Sentence / Command and Query / SMS

Open Source

755 hours

ASR Corpus

59 GB

German Scripted Speech Corpus – Command and Query

Open Source

0.71 hours

ASR Corpus

62 MB

Italian Conversational Speech Corpus

Open Source

10.43 hours

ASR Corpus

785 MB

Changsha Dialect Conversational Speech Corpus

Open Source

4.1 hours

ASR Corpus

355 MB

Italian Lexicon

Open Source

Lexicon

16 KB

Third Party

ASR Corpus

CN-Celeb Speech Recognition Corpus

A Free Chinese Speaker Recognition Corpus Released by CSLT@Tsinghua University

Dataset Overview

Dataset Type

speaker recognition corpus

Language

Chinese

Speech Style

multi-media sources

Content

free text

16 kHz, 16 bits, mono

File Format

WAV (PCM) TXT (UTF8)

Recording Equipment

Bilibili, Changba, Himalaya, NetEase Cloud, Tik Tok

Recording Environment

mult-genre: Advertisement, Drama, Entertainment, Interview, Live Broadcast, Movie, Play, Recitation, Singing, Speech, Vlog

License

Attribution-ShareAlike 4.0 International

This is a large-scale speaker recognition dataset collected `in the wild’. The dataset consists of 3,000 Chinese celebrities, and covers 11 different genres in real world.

Sign In to Download.

Comments