research
∙
10/27/2022
Evaluating context-invariance in unsupervised speech representations
Unsupervised speech representations have taken off, with benchmarks (SUP...
share
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
∙
10/06/2022
Are word boundaries useful for unsupervised language learning?
Word or word-fragment based Language Models (LM) are typically preferred...
research
∙
06/03/2022
Toward a realistic model of speech processing in the brain with self-supervised learning
Several deep neural networks have recently been shown to generate activa...
research
∙
05/31/2022
Predicting non-native speech perception using the Perceptual Assimilation Model and state-of-the-art acoustic models
Our native language influences the way we perceive speech sounds, affect...
research
∙
05/31/2022
Do self-supervised speech models develop human-like perception biases?
Self-supervised models for speech processing form representational space...
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
∙
02/23/2021
Paraphrases do not explain word analogies
Many types of distributional word embeddings (weakly) encode linguistic ...
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
∙
10/12/2020
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
∙
10/12/2020
Perceptimatic: A human speech perception benchmark for unsupervised subword modelling
In this paper, we present a data set and methods to compare speech proce...
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
∙
05/07/2020
The Perceptimatic English Benchmark for Speech Perception Models
We present the Perceptimatic English Benchmark, an open experimental ben...
research
∙
11/15/2019
Independent and automatic evaluation of acoustic-to-articulatory inversion models
Reconstruction of articulatory trajectories from the acoustic speech sig...
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
∙
12/20/2018
RNNs Implicitly Implement Tensor Product Representations
Recurrent neural networks (RNNs) can learn continuous vector representat...
research
∙
12/12/2017
The Zero Resource Speech Challenge 2017
We describe a new challenge aimed at discovering subword and word units ...
research
∙
04/23/2017
