National audienceIn this paper, we present a complete system for audio indexing. This system is based state-of-the-art methods of Speech-Music-Noise segmentation and Monophonic/Polyphonic estimation. After those methods we propose an original system of superposed sources detection. This approach is based on the analysis of the evolution of the predominant frequencies. In order to validate the whole system we used different corpora : Radio broadcasts, studio music and degraded field records. The first results are encouraging and show the potential of our approach which is generic and can be used on both music and speech contents
This paper presents a content-based approach of audio source indexing without any prior knowledge ab...
The thesis explores the development of tools for audio representation with applications in Audio Sou...
Trained human listeners show a remarkable ability to identify singers from their voices alone even i...
In this paper, we present a complete system for audio indexing. This system is based state-of-the-ar...
Currently, the amount of music available, notably via the Internet, is growing daily. The collection...
Colloque sur invitation. internationale.International audienceThis paper presents an overview of aud...
Colloque avec actes et comité de lecture. internationale.International audienceThe "Invisible Web" i...
This paper presents an overview of audio indexing, which has emerged very recently as a research top...
This paper proposes a new segmentation procedure to detect audio source intervals for automatic inde...
La quantité de données audio disponibles, telles que les enregistrements radio, la musique, les podc...
International audienceDetecting and tracking broad sound classes in audio documents is an important ...
M. Paul DELÉGLISE – Professeur à l'Université du Maine – Rapporteur M. Patrick GROS – Chargé de Rech...
Abstract—Multi-pitch analysis of concurrent sound sources is an important but challenging problem. I...
Cette thèse est consacrée à l élaboration et l évaluation des techniques visant à renforcer la robus...
In this paper we examine the retrieval performance of adjacent and concurrent n-grams generated from...
This paper presents a content-based approach of audio source indexing without any prior knowledge ab...
The thesis explores the development of tools for audio representation with applications in Audio Sou...
Trained human listeners show a remarkable ability to identify singers from their voices alone even i...
In this paper, we present a complete system for audio indexing. This system is based state-of-the-ar...
Currently, the amount of music available, notably via the Internet, is growing daily. The collection...
Colloque sur invitation. internationale.International audienceThis paper presents an overview of aud...
Colloque avec actes et comité de lecture. internationale.International audienceThe "Invisible Web" i...
This paper presents an overview of audio indexing, which has emerged very recently as a research top...
This paper proposes a new segmentation procedure to detect audio source intervals for automatic inde...
La quantité de données audio disponibles, telles que les enregistrements radio, la musique, les podc...
International audienceDetecting and tracking broad sound classes in audio documents is an important ...
M. Paul DELÉGLISE – Professeur à l'Université du Maine – Rapporteur M. Patrick GROS – Chargé de Rech...
Abstract—Multi-pitch analysis of concurrent sound sources is an important but challenging problem. I...
Cette thèse est consacrée à l élaboration et l évaluation des techniques visant à renforcer la robus...
In this paper we examine the retrieval performance of adjacent and concurrent n-grams generated from...
This paper presents a content-based approach of audio source indexing without any prior knowledge ab...
The thesis explores the development of tools for audio representation with applications in Audio Sou...
Trained human listeners show a remarkable ability to identify singers from their voices alone even i...