13-07-2022: Ondřej Cífka awarded for his thesis by the IDIA department
The thesis work of Ondřej Cífka was honored with an award from the IDIA (Computer Science, Data & AI) department of the LTCI. ≥≥
The ADASP group (Audio Data Analysis and Signal Processing, formerly known as the AAO group) is a research group associated to the S²A team, and affiliated with Telecom Paris’ in-house research laboratory: the LTCI.
A significant fraction of our research is performed within national and international collaborative projects, with numerous academic and industrial partners.
The thesis work of Ondřej Cífka was honored with an award from the IDIA (Computer Science, Data & AI) department of the LTCI. ≥≥
ADASP is proud of its former PhD student Kimia Nadjahi receiving the IP Paris Best Thesis 2022 award! The results will be announced at the IP Paris PhD Gradu... ≥≥
Michel Olvera, postdoctoral researcher within the Audio Data Analysis and Signal Processing (ADASP) group at Télécom Paris, will give a talk about robust sou... ≥≥
Our group is hiring a Master intern on the topic “Unsupervised data selection for knowledge distillation of self-supervised speech models.”. ≥≥
Our group is hiring a Master intern on the topic “Improving Urban Sound Event Detection with Unsupervised Source Separation”. ≥≥
Our group is welcoming applications for multiple postdoc and software engineering positions in speech processing, machine listening, MIR and audio/music DSP ... ≥≥
Fabian-Robert Stöter, Researcher at Audioshake in US, will give a talk about music source separation and the Sound Demixing Challenge 2023: ≥≥
Simon Leglaive, tenured Assistant Professor at CentraleSupélec, will give a talk about multimodal DVAE for speech representation learning: ≥≥
Alexey Ozerov, Lead of AI Research at Ava, will give a talk about his work and strategies at Ava company which aim to develop live captioning solution for an... ≥≥
Robin Scheibler, Senior Researcher at LINE Corporation, Tokyo, Japan will introduce his work about Robust Speech Separation algorithms and audio toolboxes ≥≥
Vincent Lostanlen will introduce his work about green machine listening models ≥≥
P. Magron presents an overview of his work on sound source separation. ≥≥
T. Parcollet presents SpeechBrain to ADASP. ≥≥
M. Fuentes talks to ADASP about her research in audio data analysis, between music and sound scene analysis. ≥≥
Our group is hiring a Master intern on the topic “Deep learning for joint detection and tracking of mobile sound sources via a moving microphone array”. ≥≥
R. Serizel talks to ADASP about his experience with the organisation of DCASE task 4. ≥≥
PhD candidate Laure Prétet will defend soon her PhD thesis, entitled “Metric Learning for Video to Music Recommendation”. ≥≥
Karim Ibrahim will defend soon his PhD thesis, entitled “Informed Audio Source Separation with Deep Learning in Limited Data Settings”. ≥≥
Giorgia Cantisani will defend soon her PhD thesis, entitled ““Neuro-steered Music Source Separation”. ≥≥
Kilian Schulze-Forster will defend soon his PhD thesis, entitled “Informed Audio Source Separation with Deep Learning in Limited Data Settings”. ≥≥
Four papers from the team were presented at ISMIR 2021! The 22nd International Society for Music Information Retrieval Conference was held online. ≥≥