6 citations · 7 across the 5 of their papers we have counts for
5 papers
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection
Piyush Behre, Sharman Tan, Amy Shah +5
Punctuation and Segmentation are key to readability in Automatic Speech Recognition (ASR), often evaluated using F1 scores that require high-quality human transcripts and do not re…
Smart Speech Segmentation using Acousto-Linguistic Features with look-ahead
Piyush Behre, Naveen Parihar, Sharman Tan +7
Segmentation for continuous Automatic Speech Recognition (ASR) has traditionally used silence timeouts or voice activity detectors (VADs), which are both limited to acoustic featur…
Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition
Sharman Tan, Piyush Behre, Nick Kibre +2
Features such as punctuation, capitalization, and formatting of entities are important for readability, understanding, and natural language processing tasks. However, Automatic Spe…
Streaming Punctuation for Long-form Dictation with Transformers
Piyush Behre, Sharman Tan, Padma Varadharajan +1
While speech recognition Word Error Rate (WER) has reached human parity for English, long-form dictation scenarios still suffer from segmentation and punctuation problems resulting…
Multilingual Transformer Language Model for Speech Recognition in Low-resource Languages
Li Miao, Jian Wu, Piyush Behre +2
It is challenging to train and deploy Transformer LMs for hybrid speech recognition 2nd pass re-ranking in low-resource languages due to (1) data scarcity in low-resource languages…