1 citations · 1 across the 7 of their papers we have counts for
10 papers
Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects
Ikram El Hadi, Nihad Elbari, Kawtar Tlemçani +2
This study addresses the prediction of audio popularity on an online sharing platform by leveraging both metadata and acoustic feature representations. Two distinct categories of a…
Sparse Autoencoders Make Audio Foundation Models more Explainable
Théo Mariotte, Martin Lebourdais, Antonio Almudévar +3
Audio pretrained models are widely employed to solve various tasks in speech processing, sound event detection, or music information retrieval. However, the representations learned…
Predefined Prototypes for Intra-Class Separation and Disentanglement
Antonio Almudévar, Théo Mariotte, Alfonso Ortega +4
Prototypical Learning is based on the idea that there is a point (which we call prototype) around which the embeddings of a class are clustered. It has shown promising results in s…
Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing
Martin Lebourdais, Théo Mariotte, Antonio Almudévar +2
Audio segmentation is a key task for many speech technologies, most of which are based on neural networks, usually considered as black boxes, with high-level performances. However,…
ASoBO: Attentive Beamformer Selection for Distant Speaker Diarization in Meetings
Theo Mariotte, Anthony Larcher, Silvio Montresor +1
Speaker Diarization (SD) aims at grouping speech segments that belong to the same speaker. This task is required in many speech-processing applications, such as rich meeting transc…
Channel-Combination Algorithms for Robust Distant Voice Activity and Overlapped Speech Detection
Théo Mariotte, Anthony Larcher, Silvio Montrésor +1
Voice Activity Detection (VAD) and Overlapped Speech Detection (OSD) are key pre-processing tasks for speaker diarization. In the meeting context, it is often easier to capture spe…
Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
Antonio Almudévar, Théo Mariotte, Alfonso Ortega +1
Unsupervised Multiple Domain Translation is the task of transforming data from one domain to other domains without having paired data to train the systems. Typically, methods based…
An Explainable Proxy Model for Multiabel Audio Segmentation
Théo Mariotte, Antonio Almudévar, Marie Tahon +1
Audio signal segmentation is a key task for automatic audio indexing. It consists of detecting the boundaries of class-homogeneous segments in the signal. In many applications, exp…
Joint speech and overlap detection: a benchmark over multiple audio setup and speech domains
Martin Lebourdais, Théo Mariotte, Marie Tahon +5
Voice activity and overlapped speech detection (respectively VAD and OSD) are key pre-processing tasks for speaker diarization. The final segmentation performance highly relies on…
Multi-microphone Automatic Speech Segmentation in Meetings Based on Circular Harmonics Features
Théo Mariotte, Anthony Larcher, Silvio Montrésor +1
Speaker diarization is the task of answering Who spoke and when? in an audio stream. Pipeline systems rely on speech segmentation to extract speakers' segments and achieve robust s…