184 citations · 379 across the 36 of their papers we have counts for
4 papers · 1 filter
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers
Adam Stooke, Rohit Prabhavalkar, Khe Chai Sim +1
Modern systems for automatic speech recognition, including the RNN-Transducer and Attention-based Encoder-Decoder (AED), are designed so that the encoder is not required to alter t…
Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers
Guru Prakash Arumugam, Shuo-yiin Chang, Tara N. Sainath +3
ASR models often suffer from a long-form deletion problem where the model predicts sequential blanks instead of words when transcribing a lengthy audio (in the order of minutes or…
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition
Chao-Han Huck Yang, Bo Li, Yu Zhang +4
In this work, we propose a new parameter-efficient learning framework based on neural model reprogramming for cross-lingual speech recognition, which can \textbf{re-purpose} well-t…
Dissecting User-Perceived Latency of On-Device E2E Speech Recognition
Yuan Shangguan, Rohit Prabhavalkar, Hang Su +8
As speech-enabled devices such as smartphones and smart speakers become increasingly ubiquitous, there is growing interest in building automatic speech recognition (ASR) systems th…