SPE-22.3
PERSONALIZED AUTOMATIC SPEECH RECOGNITION TRAINED ON SMALL DISORDERED SPEECH DATASETS
Jimmy Tobin, Katrin Tomanek, Google, United States of America
Session:
Adaptation and Personalization for Speech Models
Track:
Speech and Language Processing
Location:
Gather Area C
Presentation Time:
Mon, 9 May, 21:00 - 21:45 China Time (UTC +8)
Mon, 9 May, 13:00 - 13:45 UTC
Mon, 9 May, 13:00 - 13:45 UTC
Session Chair:
Xie Chen, Shanghai Jiaotong University
Session SPE-22
SPE-22.1: LARGE-SCALE ASR DOMAIN ADAPTATION USING SELF- AND SEMI-SUPERVISED LEARNING
Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He, Google, United States of America
SPE-22.2: Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition
Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays, Google, United States of America
SPE-22.3: PERSONALIZED AUTOMATIC SPEECH RECOGNITION TRAINED ON SMALL DISORDERED SPEECH DATASETS
Jimmy Tobin, Katrin Tomanek, Google, United States of America
SPE-22.4: SPELL MY NAME: KEYWORD BOOSTED SPEECH RECOGNITION
Namkyu Jung, Geonmin Kim, NAVER Corporation, Korea, Republic of; Joon Son Chung, Korea Advanced Institute of Science and Technology, Korea, Republic of
SPE-22.5: MAGIC DUST FOR CROSS-LINGUAL ADAPTATION OF MONOLINGUAL WAV2VEC-2.0
Sameer Khurana, James Glass, Massachusetts Institute of Technology, United States of America; Antoine Laurent, Le Mans University, France
SPE-22.6: TEXT ADAPTIVE DETECTION FOR CUSTOMIZABLE KEYWORD SPOTTING
Yu Xi, Wangyou Zhang, Baochen Yang, Kai Yu, Shanghai Jiao Tong University, China; Tian Tan, AISpeech Ltd, China