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Doctoral thesis . 2014
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Thesis . 2014
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Voice Processing and Synthesis by Performance Sampling and Spectral Models

Authors: Bonada, Jordi;

Voice Processing and Synthesis by Performance Sampling and Spectral Models

Abstract

La voz cantada es probablemente el instrumento musical más complejo y el más rico en matices expresivos. A lo largo de varias décadas se ha dedicado mucho esfuerzo de investigación a estudiar sus propiedades acústicas y a entender los mecanismos involucrados en la producción de voz cantada, poniendo especial énfasis en sus particularidades y comparándolas con el habla. Desde la aparición de las primeras técnicas de síntesis de sonido, se ha intentado imitar dichos mecanismos y encontrar maneras de reproducirlos por medio de técnicas de procesado de señal. El principal objetivo de esta investigación doctoral es construir un sintetizador de voz cantada capaz de reproducir la voz de un cantante determinado, que tenga su misma expresión y timbre, que suene natural, y cuyas entradas sean solamente la partitura y la letra de una canción. Éste es un objetivo muy ambicioso, y en esta tesis discutimos los principales aspectos de nuestra propuesta e identificamos las cuestiones aún sin resolver.

La veu cantada és probablement l'instrument musical més complex i més ric en matisos expressius. Al llarg de varies dècades s'ha dedicat molt d'esforç a investigar i estudiar les seves propietats acústiques i a entendre els mecanismes involucrats en la producció de veu cantada, posant especial èmfasis en les seves particularitats i comparant-les amb les de la parla. A més, des de l'aparició de les primeres tècniques de síntesi de so, s'ha intentat imitar i sintetitzar per mitjà de tècniques de processament del senyal. El principal objectiu d'aquesta recerca doctoral és construir un sintetitzador de veu cantada capaç de reproduir la veu d'un cantant determinat, que tingui la seva mateixa expressió i timbre, que soni natural, i que tingui com a entrades només la partitura i la lletra de una cançó. Aquest és un objectiu molt ambiciós, i en aquesta tesi discutim els principals aspectes de la nostra proposta i identifiquem les qüestions que encara queden obertes.

Singing voice is one of the most challenging musical instruments to model and imitate. Along several decades much research has been carried out to understand the mechanisms involved in singing voice production. In addition, from the very beginning of the sound synthesis techniques, singing has been one of the main targets to imitate and synthesize, and a large number of synthesizers have been created with that aim. The final goal of this thesis is to build a singing voice synthesizer capable of reproducing the voice of a given singer, both in terms of expression and timbre, sounding natural and realistic, and whose inputs would be just the score and the lyrics of a song. This is a very difficult goal, and in this dissertation we discuss the key aspects of our proposed approach and identify the open issues that still need to be tackled.

Programa de doctorat en Tecnologies de la Informació i les Comunicacions

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Spain
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Keywords

Voice Processing, Voice Synthesis, Voice Transformation, voice processing, 68, voice analysis, voice synthesis, harmonic analysis, singing voice, harmonic trajectories, voice transformation, performance sampling, voice models, synthesizer, spectral models

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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