Xavier Serra
Datos Biográficos
| ID | 2787752 |
|---|---|
| NOMBRE | Xavier Serra |
| NOMBRES | Xavier |
| APELLIDO | Serra |
| FIRMA | SERRA X |
| AFILIACIONES | Universitat Pompeu Fabra |
| ORCID | 0000-0003-1395-2345 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 18 |
| TOTAL DE CITAS | 16 |
| TOTAL COMO AUTOR | 18 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 1991 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 2 |
Un dispositif d’enseignement explicite pour articuler l’étude de la langue à des tâches complexes de lecture-écriture
Towards a Characterization of Background Music Audibility in Broadcasted TV
In audiovisual contexts, different conventions determine the level at which background music is mixed into the final program, and sometimes, the mix renders the music to be practically or totally inaudible. From a perceptual point of view, the audibility of music is subject to auditory masking by other aural stimuli such as voice or additional sounds (e.g., applause, laughter, horns), and is also influenced by the visual content that accompanies …
Saraga
We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Shared under Creative Commons licenses, they currently form the largest annotated data collections available for computational analysis of Indian Art Music. The collections are intended to provide audio and ground truth f…
Natural language processing for music knowledge discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generat…
Computational Approaches to the Art Music Traditions of India and Turkey
"Computational Approaches to the Art Music Traditions of India and Turkey." Journal of New Music Research, 43(1), pp. 1–2
Linking Scores and Audio Recordings in Makam Music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into …
In Search of Automatic Rhythm Analysis Methods for Turkish and Indian Art Music
The aim of this paper is to identify and discuss various methods in computational rhythm description of Carnatic and Hindustani music of India, and Makam music of Turkey. We define and describe three relevant rhythm annotation tasks for these cultures—beat tracking, meter estimation, and downbeat detection. We then evaluate several methodologies from the state of the art in Music Information Retrieval (MIR) for these tasks, using manually annotat…
Intonation Analysis of Rāgas in Carnatic Music
Intonation is a fundamental music concept that has a special relevance in Indian art music. It is characteristic of a rga and key to the musical expression of the artist. Describing intonation is of importance to several music information retrieval tasks such as developing similarity measures based on rgas and artists. In this paper, we first assess rga intonation qualitatively by analysing varṇaṁs, a particular form of Carnatic music composition…
Automatic Tonic Identification in Indian Art Music
The tonic is a fundamental concept in Indian art music. It is the base pitch, which an artist chooses in order to construct the melodies during a rāg(a) rendition, and all accompanying instruments are tuned using the tonic pitch. Consequently, tonic identification is a fundamental task for most computational analyses of Indian art music, such as intonation analysis, melodic motif analysis and rāg recognition. In this paper we review existing appr…
Inferring Semantic Facets of a Music Folksonomy with Wikipedia
Music folksonomies include both general and detailed descriptions of music, and are usually continuously updated. These are significant advantages over music tax-onomies, which tend to be incomplete and inconsistent. However, music folksonomies have an inherent loose and open semantics, which hampers their use in many appli-cations, such as structured music browsing and recommendation. In this paper, we present a system that can (1) automatically…
Rāga Recognition based on Pitch Distribution Methods
Rāga forms the melodic framework for most of the music of the Indian subcontinent. Thus automatic rāga recognition is a fundamental step in the computational modelling of the Indian art-music traditions. In this work, we investigate the properties of rāga and the natural processes by which people identify it. We bring together and discuss the previous computational approaches to rāga recognition correlating them with human techniques, in both Kar…
Automatic Performer Identification in Celtic Violin Audio Recordings
We present a machine learning approach to the problem of identifying performers from their interpretative styles. In particular, we investigate how violinists express their view of the musical content in audio recordings and feed this information to a number of machine learning techniques in order to induce classifiers capable of identifying the interpreters. We apply sound analysis techniques based on spectral models for extracting expressive fe…
Detecting Solo Phrases in Music Using Spectral and Pitch-related Descriptors
In this paper we present an algorithm for segmenting musical audio data. Our aim is to identify solo instrument phrases in polyphonic music. We extract relevant features from the audio to be input into our algorithm. A large corpus of audio descriptors was tested for its ability to discriminate between solo and non-solo sections, which resulted in a subset of five best features. We derived a two-stage algorithm that first creates a set of boundar…
Statistical Analysis of Chroma Features in Western Music Predicts Human Judgments of Tonality
Motivated by evidence that image source statistics predict the response properties of several visual perception aspects, we provide an empirical analysis of the relation between chroma statistics and human judgments of tonality. To accomplish this, a statistical analysis method based on chroma feature covariance is proposed. It makes use of a large collection of western music to build a tonal profile. The obtained profile is compared to alternati…
Sound and Music Computing
Based on the current context of the Sound and Music Computing (SMC) field, the state of the art in research and the open issues that have been identified and described in other articles of this journal issue, in this article we make a step forward and try to identify the broad SMC challenges and we propose strategies with which to tackle them. On the research side we identify a clear need for designing better sound objects and environments and fo…
Discovering expressive transformation rules from saxophone jazz performances
If-then rules are one of the most expressive and intuitive knowledge representations and their application to represent musical knowledge raises particularly interesting questions. In this paper, we describe an approach to learning expressive performance rules from monophonic recordings of jazz standards by a skilled saxophonist. We have first developed a melodic transcription system which extracts a set of acoustic features from the recordings p…
Saxex
The problem of generating expressive musical performances in the context of tenor saxophone interpretations was studied. Several recordings of a tenor sax playing different Jazz ballads with different degrees of expressiveness including an inexpressive interpretation of each ballad were made. These recordings were analyzed, using Sms spectral modeling techniques, to extract information related to several expressive parameters. This set of paramet…
Transmission Two
Sonic composition conceived to be heard through loudspeakers is one of the unique and original art forms of the second half of the twentieth century. Concert halls were assumed at the beginning to be the proper venues for presenting this kind of work, but it was not long before composers began searching for other options. Morton Subotnick, for instance, was among the first to try subverting such traditional presentation by composing an electronic…
Rāga Recognition based on Pitch Distribution Methods
Rāga forms the melodic framework for most of the music of the Indian subcontinent. Thus automatic rāga recognition is a fundamental step in the computational modelling of the Indian art-music traditions. In this work, we investigate the properties of rāga and the natural processes by which people identify it. We bring together and discuss the previous computational approaches to rāga recognition correlating them with human techniques, in both Kar…
Sound and Music Computing
Based on the current context of the Sound and Music Computing (SMC) field, the state of the art in research and the open issues that have been identified and described in other articles of this journal issue, in this article we make a step forward and try to identify the broad SMC challenges and we propose strategies with which to tackle them. On the research side we identify a clear need for designing better sound objects and environments and fo…
Natural language processing for music knowledge discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generat…
Automatic Tonic Identification in Indian Art Music
The tonic is a fundamental concept in Indian art music. It is the base pitch, which an artist chooses in order to construct the melodies during a rāg(a) rendition, and all accompanying instruments are tuned using the tonic pitch. Consequently, tonic identification is a fundamental task for most computational analyses of Indian art music, such as intonation analysis, melodic motif analysis and rāg recognition. In this paper we review existing appr…
Linking Scores and Audio Recordings in Makam Music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into …
Intonation Analysis of Rāgas in Carnatic Music
Intonation is a fundamental music concept that has a special relevance in Indian art music. It is characteristic of a rga and key to the musical expression of the artist. Describing intonation is of importance to several music information retrieval tasks such as developing similarity measures based on rgas and artists. In this paper, we first assess rga intonation qualitatively by analysing varṇaṁs, a particular form of Carnatic music composition…
Automatic Performer Identification in Celtic Violin Audio Recordings
We present a machine learning approach to the problem of identifying performers from their interpretative styles. In particular, we investigate how violinists express their view of the musical content in audio recordings and feed this information to a number of machine learning techniques in order to induce classifiers capable of identifying the interpreters. We apply sound analysis techniques based on spectral models for extracting expressive fe…
Transmission Two
Sonic composition conceived to be heard through loudspeakers is one of the unique and original art forms of the second half of the twentieth century. Concert halls were assumed at the beginning to be the proper venues for presenting this kind of work, but it was not long before composers began searching for other options. Morton Subotnick, for instance, was among the first to try subverting such traditional presentation by composing an electronic…
Saxex
The problem of generating expressive musical performances in the context of tenor saxophone interpretations was studied. Several recordings of a tenor sax playing different Jazz ballads with different degrees of expressiveness including an inexpressive interpretation of each ballad were made. These recordings were analyzed, using Sms spectral modeling techniques, to extract information related to several expressive parameters. This set of paramet…
Discovering expressive transformation rules from saxophone jazz performances
If-then rules are one of the most expressive and intuitive knowledge representations and their application to represent musical knowledge raises particularly interesting questions. In this paper, we describe an approach to learning expressive performance rules from monophonic recordings of jazz standards by a skilled saxophonist. We have first developed a melodic transcription system which extracts a set of acoustic features from the recordings p…
Sound and Music Computing
Based on the current context of the Sound and Music Computing (SMC) field, the state of the art in research and the open issues that have been identified and described in other articles of this journal issue, in this article we make a step forward and try to identify the broad SMC challenges and we propose strategies with which to tackle them. On the research side we identify a clear need for designing better sound objects and environments and fo…
Statistical Analysis of Chroma Features in Western Music Predicts Human Judgments of Tonality
Motivated by evidence that image source statistics predict the response properties of several visual perception aspects, we provide an empirical analysis of the relation between chroma statistics and human judgments of tonality. To accomplish this, a statistical analysis method based on chroma feature covariance is proposed. It makes use of a large collection of western music to build a tonal profile. The obtained profile is compared to alternati…
Detecting Solo Phrases in Music Using Spectral and Pitch-related Descriptors
In this paper we present an algorithm for segmenting musical audio data. Our aim is to identify solo instrument phrases in polyphonic music. We extract relevant features from the audio to be input into our algorithm. A large corpus of audio descriptors was tested for its ability to discriminate between solo and non-solo sections, which resulted in a subset of five best features. We derived a two-stage algorithm that first creates a set of boundar…
Automatic Performer Identification in Celtic Violin Audio Recordings
We present a machine learning approach to the problem of identifying performers from their interpretative styles. In particular, we investigate how violinists express their view of the musical content in audio recordings and feed this information to a number of machine learning techniques in order to induce classifiers capable of identifying the interpreters. We apply sound analysis techniques based on spectral models for extracting expressive fe…
Rāga Recognition based on Pitch Distribution Methods
Rāga forms the melodic framework for most of the music of the Indian subcontinent. Thus automatic rāga recognition is a fundamental step in the computational modelling of the Indian art-music traditions. In this work, we investigate the properties of rāga and the natural processes by which people identify it. We bring together and discuss the previous computational approaches to rāga recognition correlating them with human techniques, in both Kar…
Inferring Semantic Facets of a Music Folksonomy with Wikipedia
Music folksonomies include both general and detailed descriptions of music, and are usually continuously updated. These are significant advantages over music tax-onomies, which tend to be incomplete and inconsistent. However, music folksonomies have an inherent loose and open semantics, which hampers their use in many appli-cations, such as structured music browsing and recommendation. In this paper, we present a system that can (1) automatically…
Computational Approaches to the Art Music Traditions of India and Turkey
"Computational Approaches to the Art Music Traditions of India and Turkey." Journal of New Music Research, 43(1), pp. 1–2
Linking Scores and Audio Recordings in Makam Music of Turkey
The most relevant representations of music are notations and audio recordings, each of which emphasizes a particular perspective and promotes different approximations in the analysis and understanding of music. Linking these two representations and analysing them jointly should help to better study many musical facets by being able to combine complementary analysis methodologies. In order to develop accurate linking methods, we have to take into …
In Search of Automatic Rhythm Analysis Methods for Turkish and Indian Art Music
The aim of this paper is to identify and discuss various methods in computational rhythm description of Carnatic and Hindustani music of India, and Makam music of Turkey. We define and describe three relevant rhythm annotation tasks for these cultures—beat tracking, meter estimation, and downbeat detection. We then evaluate several methodologies from the state of the art in Music Information Retrieval (MIR) for these tasks, using manually annotat…
Intonation Analysis of Rāgas in Carnatic Music
Intonation is a fundamental music concept that has a special relevance in Indian art music. It is characteristic of a rga and key to the musical expression of the artist. Describing intonation is of importance to several music information retrieval tasks such as developing similarity measures based on rgas and artists. In this paper, we first assess rga intonation qualitatively by analysing varṇaṁs, a particular form of Carnatic music composition…
Automatic Tonic Identification in Indian Art Music
The tonic is a fundamental concept in Indian art music. It is the base pitch, which an artist chooses in order to construct the melodies during a rāg(a) rendition, and all accompanying instruments are tuned using the tonic pitch. Consequently, tonic identification is a fundamental task for most computational analyses of Indian art music, such as intonation analysis, melodic motif analysis and rāg recognition. In this paper we review existing appr…
Natural language processing for music knowledge discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago. In this work, we present different Natural Language Processing (NLP) approaches to harness the potential of these text collections for automatic music knowledge discovery, covering different phases in a prototypical NLP pipeline, namely corpus compilation, text-mining, information extraction, knowledge graph generat…
Saraga
We introduce two large open data collections of Indian Art Music, both its Carnatic and Hindustani traditions, comprising audio from vocal concerts, editorial metadata, and time-aligned melody, rhythm, and structure annotations. Shared under Creative Commons licenses, they currently form the largest annotated data collections available for computational analysis of Indian Art Music. The collections are intended to provide audio and ground truth f…
Towards a Characterization of Background Music Audibility in Broadcasted TV
In audiovisual contexts, different conventions determine the level at which background music is mixed into the final program, and sometimes, the mix renders the music to be practically or totally inaudible. From a perceptual point of view, the audibility of music is subject to auditory masking by other aural stimuli such as voice or additional sounds (e.g., applause, laughter, horns), and is also influenced by the visual content that accompanies …
Un dispositif d’enseignement explicite pour articuler l’étude de la langue à des tâches complexes de lecture-écriture
Computer Science (16 obras) · Music and Audio Processing (14 obras) · Music Technology and Sound Studies (12 obras) · Speech recognition (10 obras) · Artificial Intelligence (9 obras) · Musical (8 obras) · Natural language processing (8 obras) · Neuroscience and Music Perception (7 obras) · Art (6 obras) · Visual arts (6 obras)