@tp_adasp

ADASP (Audio Data Analysis and Signal Processing) is a Télécom Paris research group that develops data analysis methods primarily targeting audio data.

Joined January 2021
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The ADASP group has 10 papers accepted at ICASSP 2024 adasp.telecom-paris.fr/resou… via @@tp_adasp

The ADASP group has 10 papers accepted at ICASSP 2024

The ADASP group has 10 papers accepted at ICASSP 2024:

adasp.telecom-paris.fr
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@tp_adasp is proud of its former PhD student Simon Durand receiving a best paper award at #icassp2023. Congrats to him!
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Our research group @tp_adasp is welcoming applications for multiple postdoc positions in speech processing, machine listening and MIR to start as soon as possible. Scan QR code for contact to meet at #ICASSP2023.
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Machine listening in a carbon-constrained world adasp.telecom-paris.fr/resou… via @@tp_adasp

Machine listening in a carbon-constrained world

Vincent Lostanlen will introduce his work about green machine listening models

adasp.telecom-paris.fr
Kimia Nadjahi receives the IP Paris Best Thesis 2022 award adasp.telecom-paris.fr/resou… via @@tp_adasp

Kimia Nadjahi receives the IP Paris Best Thesis 2022 award

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 Graduation Ceremony on July 1st, where she will...

adasp.telecom-paris.fr
Télécom Paris ADASP group is hiring PhD students, postdocs & research engineers to develop machine listening / speech / MIR / technologies for AI-powered hearables adasp.telecom-paris.fr/resou… via @@tp_adasp

Télécom Paris ADASP group is hiring postdocs to develop speech processing, machine listening and...

Our group is welcoming applications for multiple postdoc and software engineering positions in speech processing, machine listening, MIR and audio/music DSP to start in February 2024 onwards.

adasp.telecom-paris.fr
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ADASP member Gaël Richard was awarded of an EU advanced ERC grant adasp.telecom-paris.fr/resou… via @@tp_adasp

ADASP member Gaël Richard was awarded of an EU advanced ERC grant

Professor Gaël Richard, executive director of Hi! Paris and Professor at Télécom Paris, Institut Polytechnique de Paris, was awarded of an advanced ERC grant of the European Union for a project on...

adasp.telecom-paris.fr
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SpeechBrain: Unifying Speech Technologies and Deep Learning With an Open Source Toolkit adasp.telecom-paris.fr/resou… via @@tp_adasp

SpeechBrain: Unifying Speech Technologies and Deep Learning With an Open Source Toolkit

T. Parcollet presents SpeechBrain to ADASP.

adasp.telecom-paris.fr
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Sound event detection: lessons learned from the organization of a challenge adasp.telecom-paris.fr/resou… via @@tp_adasp

Sound event detection: lessons learned from the organization of a challenge

R. Serizel talks to ADASP about his experience with the organisation of DCASE task 4.

adasp.telecom-paris.fr
Laure Prétet's PhD defense adasp.telecom-paris.fr/resou… via @@tp_adasp

Laure Prétet’s PhD defense

PhD candidate Laure Prétet will defend soon her PhD thesis, entitled “Metric Learning for Video to Music Recommendation”.

adasp.telecom-paris.fr
My #PhD thesis on #music #styletransfer and generation is now online! Read it here: hal.ip-paris.fr/tel-03499991… @MIP_frontiers @IP__Paris @tp_adasp @MSCActions
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Our PhD student Karim Ibrahim @KarimMajdy is defending his PhD thesis this thursday. More info here : adasp.telecom-paris.fr/resou…

Karim Ibrahim’s PhD defense

Karim Ibrahim will defend soon his PhD thesis, entitled “Informed Audio Source Separation with Deep Learning in Limited Data Settings”.

adasp.telecom-paris.fr
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Killian Schulze-Forster @kilian_schufo is defending his PhD thesis, entitled “Informed Audio Source Separation with Deep Learning in Limited Data Settings”. today at 2pm (CET). More info in the link below : adasp.telecom-paris.fr/resou…

Kilian Schulze-Forster’s PhD defense

Kilian Schulze-Forster will defend soon his PhD thesis, entitled “Informed Audio Source Separation with Deep Learning in Limited Data Settings”.

adasp.telecom-paris.fr
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ADASP has presented four papers at ISMIR 2021 adasp.telecom-paris.fr/resou…

ADASP has presented four papers at ISMIR 2021

Four papers from the team were presented at ISMIR 2021! The 22nd International Society for Music Information Retrieval Conference was held online.

adasp.telecom-paris.fr
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Our PhD student Ondřej @cifkao has been awarded the 🏆 Prix Jeune Chercheuse/Chercheur of @laJSM, which will take place this Saturday, Oct 9 at @DiapasonRennes! Ondřej will present his work on #music #styletransfer. adasp.telecom-paris.fr/news/…

Ondřej Cífka receives the Young Researcher Prize of the Journée Science et Musique

Our PhD student Ondřej Cífka is one of the two candidates to receive the Prix Jeune Chercheuse/Chercheur (Young Researcher Prize) of the Journée Science et Musique (JSM) 2021, which will take place...

adasp.telecom-paris.fr
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xitter.cf/laJSM/status/144313428…
Science & Musique@laJSM29 Sep 2021
La JSM c'est également un prix Jeune Chercheuse👩‍🎓/ Chercheur👨‍🎓. Cette année la récompense est attribuée à 2 candidats ex aequo : Ondřej Cífka (@cifkao) doctorant au LTCI, @telecomparis, @IP__Paris et Benjamin Matuszewski chargé de recherche et développement à l'@Ircam. 👏👏👏
La JSM c'est également un prix Jeune Chercheuse👩‍🎓/ Chercheur👨‍🎓. Cette année la récompense est attribuée à 2 candidats ex aequo : Ondřej Cífka (@cifkao) doctorant au LTCI, @telecomparis, @IP__Paris et Benjamin Matuszewski chargé de recherche et développement à l'@Ircam. 👏👏👏
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The Unified Theory of Blind Source Separation Based on Independence, Nonnegativity, and Low-rankness adasp.telecom-paris.fr/resou… via @@tp_adasp

The Unified Theory of Blind Source Separation Based on Independence, Nonnegativity, and Low-rankness

K. Yoshii presents a unified theory of blind source separation.

adasp.telecom-paris.fr
A data-driven approach to pitch spelling and key signature estimation adasp.telecom-paris.fr/resou… via @@tp_adasp

A data-driven approach to pitch spelling and key signature estimation

F. Foscarin presents his work on pitch spelling and key signature estimation

adasp.telecom-paris.fr
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Musical Audio Analysis with Insufficient Training Data adasp.telecom-paris.fr/resou… via @@tp_adasp

Musical Audio Analysis with Insufficient Training Data

A. Lerch talks to ADASP about his work on unsupervised and semi-supervised approaches for addressing the data challenge in music analysis

adasp.telecom-paris.fr
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