8 citations · 23 across the 9 of their papers we have counts for
9 papers · 1 filter
External Language Model Integration for Factorized Neural Transducers
Michael Levit, Sarangarajan Parthasarathy, Cem Aksoylar +2
We propose an adaptation method for factorized neural transducers (FNT) with external language models. We demonstrate that both neural and n-gram external LMs add significantly mor…
Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition
Piyush Behre, Sharman Tan, Padma Varadharajan +1
While speech recognition Word Error Rate (WER) has reached human parity for English, continuous speech recognition scenarios such as voice typing and meeting transcriptions still s…
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…
LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition
Xie Chen, Sarangarajan Parthasarathy, William Gale +2
LSTM language models (LSTM-LMs) have been proven to be powerful and yielded significant performance improvements over count based n-gram LMs in modern speech recognition systems. D…
Long-span language modeling for speech recognition
Sarangarajan Parthasarathy, William Gale, Xie Chen +2
We explore neural language modeling for speech recognition where the context spans multiple sentences. Rather than encode history beyond the current sentence using a cache of words…