18 citations · 26 across the 22 of their papers we have counts for
8 papers · 1 filter
Learning Speech Attribute Representations via Multi-Teacher Distillation
Maryem Bouziane, Salima Mdhaffar, Yannick Estève
Recent post-training approaches have shown that self-supervised speech encoders can be adapted to learn a single utterance-level speech attribute through knowledge distillation. In…
NADI 2026: The Second Multidialectal Arabic Speech Processing Shared Task
Peter Sullivan, Bashar Talafha, Ahmed Ashraf +11
NADI 2026 is the seventh edition of the Nuanced Arabic Dialect Identification (NADI) shared task series and the second dedicated to multidialectal Arabic speech processing. This ed…
An Ultra-Low Latency, End-to-End Streaming Speech Synthesis Architecture via Block-Wise Generation and Depth-Wise Codec Decoding
Tianhui Su, Tien-Ping Tan, Salima Mdhaffar +2
Real-time speech synthesis requires balancing inference latency and acoustic fidelity for interactive applications. Conventional continuous text-to-speech pipelines require computa…
SLURP-TN : Resource for Tunisian Dialect Spoken Language Understanding
Haroun Elleuch, Salima Mdhaffar, Yannick Estève +1
Spoken Language Understanding (SLU) aims to extract the semantic information from the speech utterance of user queries. It is a core component in a task-oriented dialogue system. W…
Ara-Best-RQ: Multi Dialectal Arabic SSL
Haroun Elleuch, Ryan Whetten, Salima Mdhaffar +2
We present Ara-BEST-RQ, a family of self-supervised learning (SSL) models specifically designed for multi-dialectal Arabic speech processing. Leveraging 5,640 hours of crawled Crea…
Learning Multiple Utterance-Level Attribute Representations with a Unified Speech Encoder
Maryem Bouziane, Salima Mdhaffar, Yannick Estève
Speech foundation models trained with self-supervised learning produce generic speech representations that support a wide range of speech processing tasks. When further adapted wit…
Using Multimodal and Language-Agnostic Sentence Embeddings for Abstractive Summarization
Chaimae Chellaf, Salima Mdhaffar, Yannick Estève +1
Abstractive summarization aims to generate concise summaries by creating new sentences, allowing for flexible rephrasing. However, this approach can be vulnerable to inaccuracies,…
Pantagruel: Unified Self-Supervised Encoders for French Text and Speech
Phuong-Hang Le, Valentin Pelloin, Arnault Chatelain +27
We release Pantagruel models, a new family of self-supervised encoder models for French text and speech. Instead of predicting modality-tailored targets such as textual tokens or s…