Yannick Estève

Align then Summarize: Automatic Alignment Methods for Summarization\n Corpus Creation

2020 · arXiv (Cornell University)

Summarizing texts is not a straightforward task. Before even considering text\nsummarization, one should determine what kind of summary is expected. How much\nshould the information be compressed? Is it relevant to reformulate or should\nthe summary stick …

Federated Learning for ASR based on Wav2vec 2.0

2023 · arXiv (Cornell University)

This paper presents a study on the use of federated learning to train an ASR model based on a wav2vec 2.0 model pre-trained by self supervision. Carried out on the well-known TED-LIUM 3 dataset, our …

An Analysis of Linear Complexity Attention Substitutes with BEST-RQ

2024 · arXiv (Cornell University)

Self-Supervised Learning (SSL) has proven to be effective in various domains, including speech processing. However, SSL is computationally and memory expensive. This is in part due the quadratic complexity of multi-head self-attention (MHSA). Alternatives for …

LIA and ELYADATA systems for the IWSLT 2025 low-resource speech translation shared task

2025

Chaimae Chellaf, Haroun Elleuch, Othman Istaiteh, D. Fortuné KPONOU, Fethi Bougares, Yannick Estève, Salima Mdhaffar. Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025). 2025.

Word Embedding Evaluation and Combination

2016

Word embeddings have been successfully used in several natural language processing tasks (NLP) and speech processing.Different approaches have been introduced to calculate word embeddings through neural networks.In the literature, many studies focused on word embedding …

End-To-End Named Entity And Semantic Concept Extraction From Speech

2018

Named entity recognition (NER) is among SLU tasks that usually extract semantic information from textual documents. Until now, NER from speech is made through a pipeline process that consists in processing first an automatic speech …