216 citations · 249 across the 8 of their papers we have counts for
11 papers
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…
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…
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…
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli, Jianyuan Zhong, Santiago Pascual +4
Despite the growing interest in unsupervised learning, extracting meaningful knowledge from unlabelled audio remains an open challenge. To take a step in this direction, we recentl…
Induced Inflection-Set Keyword Search in Speech
Oliver Adams, Matthew Wiesner, Jan Trmal +2
We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants. Experimental results indicate how lexeme-set search performance chang…
DiPCo -- Dinner Party Corpus
Maarten Van Segbroeck, Ahmed Zaid, Ksenia Kutsenko +7
We present a speech data corpus that simulates a "dinner party" scenario taking place in an everyday home environment. The corpus was created by recording multiple groups of four A…