research
∙
08/10/2023
EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
Recent work has shown that it is possible to resynthesize high-quality s...
share
research
∙
06/02/2023
BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Self-supervised techniques for learning speech representations have been...
research
∙
05/22/2023
Textually Pretrained Speech Language Models
Speech language models (SpeechLMs) process and generate acoustic data on...
research
∙
02/23/2023
ProsAudit, a prosodic benchmark for self-supervised speech models
We present ProsAudit, a benchmark in English to assess structural prosod...
research
∙
10/28/2022
Introducing topography in convolutional neural networks
Parts of the brain that carry sensory tasks are organized topographicall...
research
∙
10/27/2022
Evaluating context-invariance in unsupervised speech representations
Unsupervised speech representations have taken off, with benchmarks (SUP...
research
∙
10/27/2022
Self-supervised language learning from raw audio: Lessons from the Zero Resource Speech Challenge
Recent progress in self-supervised or unsupervised machine learning has ...
research
∙
10/24/2022
Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
Most automatic speech processing systems are sensitive to the acoustic e...
research
∙
10/06/2022
Are word boundaries useful for unsupervised language learning?
Word or word-fragment based Language Models (LM) are typically preferred...
research
∙
09/30/2022
On The Robustness of Self-Supervised Representations for Spoken Language Modeling
Self-supervised representations have been extensively studied for discri...
research
∙
09/30/2022
Emergent Communication: Generalization and Overfitting in Lewis Games
Lewis signaling games are a class of simple communication games for simu...
research
∙
06/27/2022
Is the Language Familiarity Effect gradual? A computational modelling approach
According to the Language Familiarity Effect (LFE), people are better at...
research
∙
06/22/2022
DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon
Finding word boundaries in continuous speech is challenging as there is ...
research
∙
04/27/2022
On the role of population heterogeneity in emergent communication
Populations have often been perceived as a structuring component for lan...
research
∙
04/11/2022
Speech Sequence Embeddings using Nearest Neighbors Contrastive Learning
We introduce a simple neural encoder architecture that can be trained us...
research
∙
03/30/2022
Generative Spoken Dialogue Language Modeling
We introduce dGSLM, the first "textless" model able to generate audio sa...
research
∙
03/30/2022
Probing phoneme, language and speaker information in unsupervised speech representations
Unsupervised models of representations based on Contrastive Predictive C...
research
∙
03/11/2022
Are discrete units necessary for Spoken Language Modeling?
Recent work in spoken language modeling shows the possibility of learnin...
research
∙
02/15/2022
textless-lib: a Library for Textless Spoken Language Processing
Textless spoken language processing research aims to extend the applicab...
research
∙
12/14/2021
Towards Interactive Language Modeling
Interaction between caregivers and children plays a critical role in hum...
research
∙
12/10/2021
Shennong: a Python toolbox for audio speech features extraction
We introduce Shennong, a Python toolbox and command-line utility for spe...
research
∙
11/14/2021
Textless Speech Emotion Conversion using Decomposed and Discrete Representations
Speech emotion conversion is the task of modifying the perceived emotion...
research
∙
09/07/2021
Text-Free Prosody-Aware Generative Spoken Language Modeling
Speech pre-training has primarily demonstrated efficacy on classificatio...
research
∙
07/14/2021
ZR-2021VG: Zero-Resource Speech Challenge, Visually-Grounded Language Modelling track, 2021 edition
We present the visually-grounded language modelling track that was intro...
research
∙
04/29/2021
The Interspeech Zero Resource Speech Challenge 2021: Spoken language modelling
We present the Zero Resource Speech Challenge 2021, which asks participa...
research
∙
04/01/2021
Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
We propose using self-supervised discrete representations for the task o...
research
∙
03/12/2021
Learning spectro-temporal representations of complex sounds with parameterized neural networks
Deep Learning models have become potential candidates for auditory neuro...
research
∙
02/01/2021
Generative Spoken Language Modeling from Raw Audio
Generative spoken language modeling involves learning jointly the acoust...
research
∙
01/02/2021
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation
We introduce VoxPopuli, a large-scale multilingual corpus providing 100K...
research
∙
11/23/2020
The Zero Resource Speech Benchmark 2021: Metrics and baselines for unsupervised spoken language modeling
We introduce a new unsupervised task, spoken language modeling: the lear...
research
∙
10/30/2020
Comparison of Speaker Role Recognition and Speaker Enrollment Protocol for conversational Clinical Interviews
Conversations between a clinician and a patient, in natural conditions, ...
research
∙
10/12/2020
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
We present the Zero Resource Speech Challenge 2020, which aims at learni...
research
∙
10/07/2020
Analogies minus analogy test: measuring regularities in word embeddings
Vector space models of words have long been claimed to capture linguisti...
research
∙
10/05/2020
"LazImpa": Lazy and Impatient neural agents learn to communicate efficiently
Previous work has shown that artificial neural agents naturally develop ...
research
∙
07/27/2020
Evaluating the reliability of acoustic speech embeddings
Speech embeddings are fixed-size acoustic representations of variable-le...
research
∙
07/02/2020
Data Augmenting Contrastive Learning of Speech Representations in the Time Domain
Contrastive Predictive Coding (CPC), based on predicting future segments...
research
∙
06/09/2020
Vocal markers from sustained phonation in Huntington's Disease
Disease-modifying treatments are currently assessed in neurodegenerative...
research
∙
04/30/2020
Occlusion resistant learning of intuitive physics from videos
To reach human performance on complex tasks, a key ability for artificia...
research
∙
04/20/2020
Compositionality and Generalization in Emergent Languages
Natural language allows us to refer to novel composite concepts by combi...
research
∙
03/03/2020
Seshat: A tool for managing and verifying annotation campaigns of audio data
We introduce Seshat, a new, simple and open-source software to efficient...
research
∙
03/02/2020
Identification of primary and collateral tracks in stuttered speech
Disfluent speech has been previously addressed from two main perspective...
research
∙
02/07/2020
Unsupervised pretraining transfers well across languages
Cross-lingual and multi-lingual training of Automatic Speech Recognition...
research
∙
12/17/2019
Libri-Light: A Benchmark for ASR with Limited or No Supervision
We introduce a new collection of spoken English audio suitable for train...
research
∙
12/02/2019
Speaker detection in the wild: Lessons learned from JSALT 2019
This paper presents the problems and solutions addressed at the JSALT wo...
research
∙
11/30/2019
Modeling German Verb Argument Structures: LSTMs vs. Humans
LSTMs have proven very successful at language modeling. However, it rema...
research
∙
05/29/2019
Anti-efficient encoding in emergent communication
Despite renewed interest in emergent language simulations with neural ne...
research
∙
05/29/2019
Word-order biases in deep-agent emergent communication
Sequence-processing neural networks led to remarkable progress on many N...
research
∙
04/25/2019
The Zero Resource Speech Challenge 2019: TTS without T
We present the Zero Resource Speech Challenge 2019, which proposes to bu...
research
∙
06/19/2018
End-to-End Speech Recognition From the Raw Waveform
State-of-the-art speech recognition systems rely on fixed, hand-crafted ...
research
∙
04/30/2018
