216 citations · 556 across the 81 of their papers we have counts for
11 papers · 1 filter
Lhotse: a speech data representation library for the modern deep learning ecosystem
Piotr Żelasko, Daniel Povey, Jan "Yenda" Trmal +1
Speech data is notoriously difficult to work with due to a variety of codecs, lengths of recordings, and meta-data formats. We present Lhotse, a speech data representation library…
Injecting Text and Cross-lingual Supervision in Few-shot Learning from Self-Supervised Models
Matthew Wiesner, Desh Raj, Sanjeev Khudanpur
Self-supervised model pre-training has recently garnered significant interest, but relatively few efforts have explored using additional resources in fine-tuning these models. We d…
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
Guoguo Chen, Shuzhou Chai, Guanbo Wang +18
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training, and…
Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem
Desh Raj, Sanjeev Khudanpur
We recently proposed DOVER-Lap, a method for combining overlap-aware speaker diarization system outputs. DOVER-Lap improved upon its predecessor DOVER by using a label mapping meth…
Adversarial Attacks and Defenses for Speech Recognition Systems
Piotr Żelasko, Sonal Joshi, Yiwen Shao +4
The ubiquitous presence of machine learning systems in our lives necessitates research into their vulnerabilities and appropriate countermeasures. In particular, we investigate the…
An Asynchronous WFST-Based Decoder For Automatic Speech Recognition
Hang Lv, Zhehuai Chen, Hainan Xu +3
We introduce asynchronous dynamic decoder, which adopts an efficient A* algorithm to incorporate big language models in the one-pass decoding for large vocabulary continuous speech…
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Large web-crawled corpora represent an excellent resource for improving the performance of Neural Machine Translation (NMT) systems across several language pairs. However, since th…
Learning Policies for Multilingual Training of Neural Machine Translation Systems
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Low-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high-resour…
A Parallelizable Lattice Rescoring Strategy with Neural Language Models
Ke Li, Daniel Povey, Sanjeev Khudanpur
This paper proposes a parallel computation strategy and a posterior-based lattice expansion algorithm for efficient lattice rescoring with neural language models (LMs) for automati…
Wake Word Detection with Streaming Transformers
Yiming Wang, Hang Lv, Daniel Povey +2
Modern wake word detection systems usually rely on neural networks for acoustic modeling. Transformers has recently shown superior performance over LSTM and convolutional networks…
The Hitachi-JHU DIHARD III System: Competitive End-to-End Neural Diarization and X-Vector Clustering Systems Combined by DOVER-Lap
Shota Horiguchi, Nelson Yalta, Paola Garcia +7
This paper provides a detailed description of the Hitachi-JHU system that was submitted to the Third DIHARD Speech Diarization Challenge. The system outputs the ensemble results of…