571 citations · 1.1k across the 10 of their papers we have counts for
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Unsupervised ASR via Cross-Lingual Pseudo-Labeling
Tatiana Likhomanenko, Loren Lugosch, Ronan Collobert
Recent work has shown that it is possible to train an automatic speech recognition (ASR) system using only unpaired audio and text. Existing unsupervised AS…
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…
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…
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…
Tone Recognition Using Lifters and CTC
Loren Lugosch, Vikrant Singh Tomar
In this paper, we present a new method for recognizing tones in continuous speech for tonal languages. The method works by converting the speech signal to a cepstrogram, extracting…