AISHELL-WakeUp-1 中英文唤醒词语音数据库

AISHELL-WakeUp-1 Chinese and English Wake-up Words Speech Data

      AISHELL-WakeUp-1语音数据库共唤醒词语音3936003条,1561.12小时。录音语言,中文和英文;录音地区,中国。录音文本为“你好,米雅” “hi, mia”唤醒词。邀请254名发言人参与录制。录制过程在真实家居环境中,设置7个录音位,使用6个圆形16路PDM麦克风阵列录音板做远讲拾音(16kHz,16bit)、1个高保真麦克风做近讲拾音(44.1kHz,16bit)。此数据库经过专业语音校对人员转写标注,并通过严格质量检验,字正确率100%。可用于声纹识别、语音唤醒识别等研究使用。

 

 

AISHELL-WakeUp-1 database contains 1,561.12 hours speech data, including 3,936,003 wake-up words speech files.

  • Database language: Chinese and English

  • Recording area: China

  • Wake-up words for recording: “Hi mia” and the Chinese of “你好,米雅”

  • Speakers: 254 participants

  • Environment: Real home environment

  • Device setup: 7 different positions are set for recording, including:

    1) Six 16-channel circular microphone arrays (16kHz,16bit) for the far-field recording;

    2) One Hi-Fi microphone for the close-talk recording (44.1kHz,16bit).

AISHELL-WakeUp-1 database was transcribed by the professional speech annotators with high QA process, and the accuracy rate of word is 100%, which could be used in research of voiceprint recognition, wake-up words recognition and so on.

语音识别实验

声纹实验

Speech & Speaker Recognition evaluation

Paper

1561.12小时 | 1561.12 Hours

254人中英文

254 speakers in the recording

Kaldi系统应用

merged with Kaldi system

Kaldi recipe

Download

 

 

Readme
HI-MIA Recipe
Sample

Non-Open Source

 

 

       数据使用申请                Company:bd@aishelldata.com      

 

Service  Application          Academic Institution:aishell.foundation@gmail.com     

 

HI-MIA

A far-field text-dependent speaker verification database for AISHELL Speaker Verification Challenge 2019

 

 

About this resource:

The data is used in AISHELL Speaker Verification Challenge 2019. It is extracted from a larger database called AISHELL-WakeUp-1and AISHELL-2019B-EVAL.

 

 

The contents are wake-up words "Hi, Mia" in both Chinese and English. The data is collected in real home environment using microphone arrays and Hi-Fi microphone. The collection process and development of a baseline system was described in the paper below. The data used in the challenge is extracted from 1 Hi-Fi microphone and 16-channel circular microphone arrays for 1/3/5 meters. And the contents are the Chinese wake-up words. The whole set is divided into train (254 people), dev (42 people) and test (44 people) subsets. Test subset is provided with paired target/non-target answer to evaluate verification results.

Rule of the file

 

 

<speakerID>_<pointID>_<micID>_<speed><utterenceID>.wav

e.g. SV0001_2_10_N0001.wav

 

 

Field Value Field meaning
<speakerID> SV0001-SV0254 Speaker ID
<pointID>

1-6:circular microphone arrays ID   

(far-field);7:HI-FI Mic ID

Point position  ID
<micID> 2-17 Microphone ID of an 
<speed> Slow,Normal,Fast Speaking speed
Openslr

License: Apache License v.2.0

Train/Dev Sets
Download
Download

1. Randomly add silence frames at

    the beginning or end for

    SVC- 2019 test set.

2. Unprocessed raw data.

Test Set