8 citations · 15 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
Factorized Neural Transducer for Efficient Language Model Adaptation
Xie Chen, Zhong Meng, Sarangarajan Parthasarathy +1
In recent years, end-to-end (E2E) based automatic speech recognition (ASR) systems have achieved great success due to their simplicity and promising performance. Neural Transducer…
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…
Entity-Aware Language Model as an Unsupervised Reranker
Mohammad Sadegh Rasooli, Sarangarajan Parthasarathy
In language modeling, it is difficult to incorporate entity relationships from a knowledge-base. One solution is to use a reranker trained with global features, in which global fea…