Search Results for author:
Found 5 papers, 1 papers with code
Probing mental health information in speech foundation models
Using the Callyope-GP and Androids datasets, we evaluated the models' effectiveness across different languages and speech tasks, aiming to enhance the generalizability of speech-based mental health diagnostics.
The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units
We present the Zero Resource Speech Challenge 2020, which aims at learning speech representations from raw audio signals without any labels.
Seshat: A tool for managing and verifying annotation campaigns of audio data
We introduce Seshat, a new, simple and open-source software to efficiently manage annotations of speech corpora.
The Zero Resource Speech Challenge 2019: TTS without T
We present the Zero Resource Speech Challenge 2019, which proposes to build a speech synthesizer without any text or phonetic labels: hence, TTS without T (text-to-speech without text).
Bridging the gap between speech technology and natural language processing: an evaluation toolbox for term discovery systems
The unsupervised discovery of linguistic terms from either continuous phoneme transcriptions or from raw speech has seen an increasing interest in the past years both from a theoretical and a practical standpoint.
