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Found 4 papers, 2 papers with code
FunASR: A Fundamental End-to-End Speech Recognition Toolkit
FunASR offers models trained on large-scale industrial corpora and the ability to deploy them in applications.
Ranked #1 on
Speech Recognition
on WenetSpeech
(using extra training data)
Accurate and Reliable Confidence Estimation Based on Non-Autoregressive End-to-End Speech Recognition System
Estimating confidence scores for recognition results is a classic task in ASR field and of vital importance for kinds of downstream tasks and training strategies.
Simplified Self-Attention for Transformer-based End-to-End Speech Recognition
Transformer models have been introduced into end-to-end speech recognition with state-of-the-art performance on various tasks owing to their superiority in modeling long-term dependencies.
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition
Recently, streaming end-to-end automatic speech recognition (E2E-ASR) has gained more and more attention.
Sound Audio and Speech Processing
