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R. Mori

12 papers hereh-index 357.9k citations292 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author7

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • eess.AS4
  • cs.LG1
  • cs.SD1
  • stat.ML1
same name
  • R. Mori — 13 papers, h 14
  • R. Mori — 6 papers, h 11
  • R. Mori — 2 papers, h 6
  • R. Mori — 2 papers
  • R. Mori — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedSpeechBrain: A General-Purpose Speech Toolkit

514 citations · 526 across the 5 of their papers we have counts for

collaborators
Showing eess.ASShow all

4 papers · 1 filter

eess.AS2021★ 514 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…

eess.AS2019

Real to H-space Encoder for Speech Recognition

Titouan Parcollet, Mohamed Morchid, Georges Linarès +1

Deep neural networks (DNNs) and more precisely recurrent neural networks (RNNs) are at the core of modern automatic speech recognition systems, due to their efficiency to process i…

eess.AS2018

Speech recognition with quaternion neural networks

Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid +2

Neural network architectures are at the core of powerful automatic speech recognition systems (ASR). However, while recent researches focus on novel model architectures, the acoust…

eess.AS2018

Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech Recognition

Titouan Parcollet, Mohamed Morchid, Georges Linarès +1

Recurrent neural networks (RNN) are at the core of modern automatic speech recognition (ASR) systems. In particular, long-short term memory (LSTM) recurrent neural networks have ac…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.