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Found 3 papers, 1 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)
Discriminative Self-training for Punctuation Prediction
Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the performance of downstream natural language processing applications.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection
With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcripts, to improve the readability of the transcripts as well as the performance of subsequent applications, such as machine translation, dialogue systems, and so forth.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
