Titouan Parcollet
24 papers · 2017–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
π
Academic Marathon
(7)
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Cross-Pollinator
(8)
πΊοΈ
Taxonomy Completionist
(17)
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Conference Loyalist
(20)
π₯
Mega-Team
(33)
π
Keyword Champion
(3)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(79)
β‘
Prolific Year
(6)
π
Trend Setter
π
Century Club
(24)
π₯
Unstoppable
(8)
β
The Questioner
(2)
Conferences
INTERSPEECH (20)
ICLR (2)
JMLR (2)
Top co-authors
Research topics
Keywords
self-supervised learning
(8)
automatic speech recognition
(6)
speech recognition
(4)
representation learning
(4)
quaternion neural network
(4)
speech enhancement
(3)
speech processing
(3)
linear complexity
(3)
distant speech recognition
(2)
federated learning
(2)
multi-channel speech recognition
(2)
data augmentation
(2)
speech representation
(2)
end-to-end speech recognition
(2)
downstream task
(2)
inference speed
(2)
spoken language understanding
(2)
speaker recognition
(2)
recurrent neural network
(2)
energy consumption
(2)
Papers
Open-Source Conversational AI with SpeechBrain 1.0
JMLR 2024
Linear-Complexity Self-Supervised Learning for Speech Processing
INTERSPEECH 2024
SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding
INTERSPEECH 2024
Speech Self-Supervised Representation Benchmarking: Are We Doing it Right?
INTERSPEECH 2023
HyperConformer: Multi-head HyperMixer for Efficient Speech Recognition
INTERSPEECH 2023
On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning
INTERSPEECH 2023
Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations
INTERSPEECH 2023
Automatic Data Augmentation for Domain Adapted Fine-Tuning of Self-Supervised Speech Representations
INTERSPEECH 2023
A First Look into the Carbon Footprint of Federated Learning
JMLR 2023
Automatic Data Augmentation Selection and Parametrization in Contrastive Self-Supervised Speech Representation Learning
INTERSPEECH 2022
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity
ICLR 2022
Federated Self-supervised Speech Representations: Are We There Yet?
INTERSPEECH 2022
End-to-end model for named entity recognition from speech without paired training data
INTERSPEECH 2022
The Energy and Carbon Footprint of Training End-to-End Speech Recognizers
INTERSPEECH 2021
Conditional Independence for Pretext Task Selection in Self-Supervised Speech Representation Learning
INTERSPEECH 2021
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
INTERSPEECH 2021
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
INTERSPEECH 2021
Quaternion Neural Networks for Multi-Channel Distant Speech Recognition
INTERSPEECH 2020
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition
INTERSPEECH 2020
Quaternion Recurrent Neural Networks
ICLR 2019
Real to H-Space Encoder for Speech Recognition
INTERSPEECH 2019
M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding
INTERSPEECH 2019
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition
INTERSPEECH 2018
Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations
INTERSPEECH 2017