40 citations · 109 across the 27 of their papers we have counts for
6 papers · 2 filters
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…
Gated Embeddings in End-to-End Speech Recognition for Conversational-Context Fusion
Suyoun Kim, Siddharth Dalmia, Florian Metze
We present a novel conversational-context aware end-to-end speech recognizer based on a gated neural network that incorporates conversational-context/word/speech embeddings. Unlike…
The ARIEL-CMU Systems for LoReHLT18
Aditi Chaudhary, Siddharth Dalmia, Junjie Hu +27
This paper describes the ARIEL-CMU submissions to the Low Resource Human Language Technologies (LoReHLT) 2018 evaluations for the tasks Machine Translation (MT), Entity Discovery a…
Phoneme Level Language Models for Sequence Based Low Resource ASR
Siddharth Dalmia, Xinjian Li, Alan W Black +1
Building multilingual and crosslingual models help bring different languages together in a language universal space. It allows models to share parameters and transfer knowledge acr…