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TTS
CCF Task Force on
Speech Dialogue
and Auditory Processing
Audio, Speech and Language
Processing Group, Northwestern
Polytechnical University
xi'an software park
SHAANXI KUNPENG
Ecological
Innovation Center
Speech Lab, Shanghai Jiao
Tong University, China
School of Computer Science and
Engineering, Nanyang Technological
University, Singapore
Center for Language and Speech
Processing, John Hopkins
University, United States
Datatang (Beijing)
Technology Co., Ltd.
INTERSPEECH has grown into the world's largest technical conference focused on speech processing and application. The conferences emphasize interdisciplinary approaches addressing all aspects of speech science and technology, ranging from basic theories to advanced applications. As a flagship sattelite workshop, the Accented English Speech Recognition Challenge (AESRC) will provide a common testbed for researchers in speech recogntion, especially recognition of speech with accents, and the challenge workshop will take place virtually.
English is the most influential universal language in the world. English speech recognition is also one of the most concerned areas in both academia and industry. At present, advanced ASR systems have achieved good effect and meet most requirements for standard English. In accent English field, however, recognizing English speech with accents still remains a challenging task. The difficulties in building an accent English ASR system mainly arise from the diversity of pronunciation accuracy, intonation speed and pronunciation of some syllables. On the other hand, the shortage of accent speech data limits the relevant research.
The Interspeech 2020 Accented English Speech Recognition Challenge (AESRC) will open 8 sets of accented English data from different countries to the participants, covering various pronunciation characteristics and accents, aiming to promote the discussion and exchange on English language research and accent speech recognition. It is expected that all researchers from academia and industry can learn from each other and truly gain by participating our challenge & workshop.
Computing resources will be provided by Huawei
Accent Identification
Use permitted data only to train an accent recognition model. Submit the result of language identification on the test set.
Note：No limit for models and training technics. Evaluation considers the identification accuracy of the test set only.Accented English Speech Recognition
Use permitted data only to train an ASR model for recognizing all kinds of accented English. Submit the result text of recognition.
Note: Test sets will include accents beyond training data in order to evaluate the generalization performance of the model. All kinds of system combination methods including ROVER are strictly prohibited. Language model training should only use the transcripts of permitted speech training data. Data augmentation should only be applied on the permitted speech data only.160 hours of labelled accented speech collected in Russia, Korea, US, Portugal, Japan, India, UK and China (20 hours/country) will be released to the registered teams.
|
Duration |
20 hours ×8 |
| Language & Accent |
Accented English from Russia, Korea, US, Portugal, Japan, India, UK, China |
| Speaker |
40 – 110 speakers per accent |
| Audio Format |
16kHz, 16bit, single channel wav |
| Recording environment |
Indoor, mobile phone |
| Speech content |
Daily communication, interaction with smart devices, etc |
|
FIELD |
DESCRIPTION |
| SEX |
Speaker gender |
| AGE |
Speaker age |
| ACT |
Accent type |
| MIT |
Recording device |
| SCC |
Recording environment |
| LBR |
Utterance duration |
| ORS |
Raw text |
Registration
deadline
Aug 31, 2020Release training
dataset
2Release test sets
Sep 22, 2020Submit results for
both tracks
4Announce challenge
results
Sep 30, 2020Submit system
description
6Technical Seminar
& Award Ceremony(Online)
Dec 05,20201 First Prize - ¥ 10,000
2 Second Prizes - ¥ 5,000 each
3 Third Prizes - ¥ 2,000 each
1 First Prize - ¥ 10,000
2 Second Prizes - ¥ 5,000 each
3 Third Prizes - ¥ 2,000 each
Note:All the prize amounts include the tax.
(Names listed in no particular order)
|
Lei Xie |
Northwestern Polytechnical University, China |
|
Yanmin Qian |
Shanghai Jiao Tong University, China |
|
Shinji Watanabe |
John Hopkins University, United States |
|
Chng Eng Siong |
Nanyang Technological University, Singapore |
|
Qiangze Feng |
Datatang（Beijing）Technology Co.,Ltd, China |
Challenge is open to university, scientific research institutes, and internet enterprises.
Note: The challenge organizers and technical support units such as the employees who have the access to the business, products and data about the challenge will automatically withdraw from the challenge and give up the qualifications.
Note：
Team B, I, U2, K2, and M2 only submitted Track2 results. Team D2 and O3 only submitted Track1 results. Team Q3's submission was invalid.
Participants are prohibited to register more than one time.
Participants are supposed to obey the data using rules of each track strictly. Teams that break the rules will be disqualified to use the data and the results will be invalid.
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