45 citations · 211 across the 23 of their papers we have counts for
6 papers · 1 filter
Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization
Yanis Labrak, David Grünert, Séverin Baroudi +11
Long-context audio reasoning is underserved in both training data and evaluation. Existing benchmarks target short-context tasks, and the open-ended generation tasks most relevant…
Discrete Audio Tokens: More Than a Survey!
Pooneh Mousavi, Gallil Maimon, Adel Moumen +18
Discrete audio tokens are compact representations that aim to preserve perceptual quality, phonetic content, and speaker characteristics while enabling efficient storage and infere…
Speech foundation models on intelligibility prediction for hearing-impaired listeners
Santiago Cuervo, Ricard Marxer
Speech foundation models (SFMs) have been benchmarked on many speech processing tasks, often achieving state-of-the-art performance with minimal adaptation. However, the SFM paradi…
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech
Santiago Cuervo, Adrian Łańcucki, Ricard Marxer +2
The success of deep learning comes from its ability to capture the hierarchical structure of data by learning high-level representations defined in terms of low-level ones. In this…
DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation
Mandar Gogate, Ahsan Adeel, Ricard Marxer +2
Human auditory cortex excels at selectively suppressing background noise to focus on a target speaker. The process of selective attention in the brain is known to contextually expl…
Unsupervised Incremental Learning and Prediction of Music Signals
Ricard Marxer, Hendrik Purwins
A system is presented that segments, clusters and predicts musical audio in an unsupervised manner, adjusting the number of (timbre) clusters instantaneously to the audio input. A…