Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Cyril Joder"'
Publikováno v:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia
ICASSP
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia
ICASSP
In the present work, we introduce a new probabilistic model for the task of estimating beat positions in a musical audio recording, instantiating the Conditional Random Field (CRF) framework. Our approach takes its strength from a sophisticated tempo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eaad6e2289d9d5535f1628a5ed973906
https://hal.telecom-paris.fr/hal-02288433
https://hal.telecom-paris.fr/hal-02288433
Autor:
Cyril Joder, Björn Schuller
Publikováno v:
ICASSP
Audio-to-score alignment aims at matching a symbolic representation (the score) to a musical recording. A key problem in this application is the great variability of audio observations which can be explained by a single symbolic element. Whereas most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b17d9626cae29deb6f82e9aa64af29cd
https://doi.org/10.1109/icassp.2013.6637638
https://doi.org/10.1109/icassp.2013.6637638
Publikováno v:
ICASSP
In this work, we study the usefulness of several types of sparsity penalties in the task of speech separation using supervised and semi-supervised Nonnegative Matrix Factorization (NMF). We compare different criteria from the literature to two novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b128784b4aedf75eb09ff4e37fb18a2
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72587
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/72587
Publikováno v:
IEEE Transactions on Audio, Speech and Language Processing
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2013
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2013
International audience; This paper addresses the design of feature functions for the matching of a musical recording to the symbolic representation of the piece (the score). These feature functions are defined as dissimilarity measures between the au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7440afd98dae73cc0f6705f91a9e5e4a
https://hal.archives-ouvertes.fr/hal-02704714
https://hal.archives-ouvertes.fr/hal-02704714
Publikováno v:
ICASSP
We present a novel method to integrate noise estimates by unsupervised speech enhancement algorithms into a semi-supervised non-negative matrix factorization framework. A multiplicative update algorithm is derived to estimate a non-negative noise dic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9f38130415c5bb5a0a9c9e8279e99d7
https://opus.bibliothek.uni-augsburg.de/opus4/files/72608/72608.pdf
https://opus.bibliothek.uni-augsburg.de/opus4/files/72608/72608.pdf
Publikováno v:
Latent Variable Analysis and Signal Separation ISBN: 9783642285509
LVA/ICA
LVA/ICA
In this paper, we present an on-line semi-supervised algorithm for real-time separation of speech and background noise. The proposed system is based on Nonnegative Matrix Factorization (NMF), where fixed speech bases are learned from training data wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f76ae916411db1838185249ca9bf01a7
https://doi.org/10.1007/978-3-642-28551-6_40
https://doi.org/10.1007/978-3-642-28551-6_40
Publikováno v:
IEEE Transactions on Audio, Speech and Language Processing
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2011
IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2011
International audience; In the present work, we introduce the use of Conditional Random Fields (CRFs) for the audio-to-score alignment task. This framework encompasses the statistical models which are used in the literature and allows for more flexib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5c5b3900e9c3d88ef0962d0884b19f0
https://hal.archives-ouvertes.fr/hal-02653026/file/Joder_TASLP2011.pdf
https://hal.archives-ouvertes.fr/hal-02653026/file/Joder_TASLP2011.pdf
Publikováno v:
2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Oct 2011, New Paltz, France. pp.121-124, ⟨10.1109/ASPAA.2011.6082330⟩
WASPAA
2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Oct 2011, New Paltz, France. pp.121-124, ⟨10.1109/ASPAA.2011.6082330⟩
WASPAA
A key processing step in music-to-score alignment systems is the estimation of the intantaneous match between an audio observation and the score. We here propose a general formulation of this matching measure, using a linear transformation from the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea0b64a0c7ffa6b34f8bd40119e93fe7
https://hal.telecom-paris.fr/hal-02943613
https://hal.telecom-paris.fr/hal-02943613
Publikováno v:
ICASSP
ICASSP 2011-2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2011-2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2011, Prague, France. pp.397-400, ⟨10.1109/ICASSP.2011.5946424⟩
ICASSP 2011-2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP 2011-2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2011, Prague, France. pp.397-400, ⟨10.1109/ICASSP.2011.5946424⟩
In this paper, we present the Hidden Discrete Tempo Model, an effective Dynamic Bayesian Network for audio to score matching. Its main feature is an explicit modeling of tempo, which directly influences the timing model of the musical performance. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2a1283b8e3174944021939ef8681fed
https://doi.org/10.1109/icassp.2011.5946424
https://doi.org/10.1109/icassp.2011.5946424