11 citations · 33 across the 6 of their papers we have counts for
9 papers
Universal Phone Recognition with a Multilingual Allophone System
Xinjian Li, Siddharth Dalmia, Juncheng Li +8
Multilingual models can improve language processing, particularly for low resource situations, by sharing parameters across languages. Multilingual acoustic models, however, genera…
Towards Zero-shot Learning for Automatic Phonemic Transcription
Xinjian Li, Siddharth Dalmia, David R. Mortensen +3
Automatic phonemic transcription tools are useful for low-resource language documentation. However, due to the lack of training sets, only a tiny fraction of languages have phonemi…
Enforcing Encoder-Decoder Modularity in Sequence-to-Sequence Models
Siddharth Dalmia, Abdelrahman Mohamed, Mike Lewis +2
Inspired by modular software design principles of independence, interchangeability, and clarity of interface, we introduce a method for enforcing encoder-decoder modularity in seq2…
SANTLR: Speech Annotation Toolkit for Low Resource Languages
Xinjian Li, Zhong Zhou, Siddharth Dalmia +2
While low resource speech recognition has attracted a lot of attention from the speech community, there are a few tools available to facilitate low resource speech collection. In t…
Multilingual Speech Recognition with Corpus Relatedness Sampling
Xinjian Li, Siddharth Dalmia, Alan W. Black +1
Multilingual acoustic models have been successfully applied to low-resource speech recognition. Most existing works have combined many small corpora together and pretrained a multi…
Cross-Attention End-to-End ASR for Two-Party Conversations
Suyoun Kim, Siddharth Dalmia, Florian Metze
We present an end-to-end speech recognition model that learns interaction between two speakers based on the turn-changing information. Unlike conventional speech recognition models…