activity
20182021
most citedSpeechBrain: A General-Purpose Speech Toolkit

514 citations · 519 across the 3 of their papers we have counts for

collaborators

8 papers

eess.AS2021514 cited

SpeechBrain: A General-Purpose Speech Toolkit

Mirco Ravanelli, Titouan Parcollet, Peter Plantinga +18

SpeechBrain is an open-source and all-in-one speech toolkit. It is designed to facilitate the research and development of neural speech processing technologies by being simple, fle…

cs.CL2021

Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers

Loren Lugosch, Piyush Papreja, Mirco Ravanelli +2

This paper introduces Timers and Such, a new open source dataset of spoken English commands for common voice control use cases involving numbers. We describe the gap in existing sp…

cs.LG20205 cited

Surprisal-Triggered Conditional Computation with Neural Networks

Loren Lugosch, Derek Nowrouzezahrai, Brett H. Meyer

Autoregressive neural network models have been used successfully for sequence generation, feature extraction, and hypothesis scoring. This paper presents yet another use for these…

eess.AS2019

Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models

Loren Lugosch, Brett Meyer, Derek Nowrouzezahrai +1

End-to-end models are an attractive new approach to spoken language understanding (SLU) in which the meaning of an utterance is inferred directly from the raw audio without employi…

eess.AS2019

Speech Model Pre-training for End-to-End Spoken Language Understanding

Loren Lugosch, Mirco Ravanelli, Patrick Ignoto +2

Whereas conventional spoken language understanding (SLU) systems map speech to text, and then text to intent, end-to-end SLU systems map speech directly to intent through a single…

cs.LG2018

DONUT: CTC-based Query-by-Example Keyword Spotting

Loren Lugosch, Samuel Myer, Vikrant Singh Tomar

Keyword spotting--or wakeword detection--is an essential feature for hands-free operation of modern voice-controlled devices. With such devices becoming ubiquitous, users might wan…