Perceptual optimization of unit-selection text-to-speech synthesis systems by means of active interactive genetic algorithms

The tuning process of Unit Selection TTS (US-TTS) system is usually performed by an expert that typically conducts the task of weighting the cost function by hand. However, hand tuning is costly in terms of the required training time and inaccurate and ambiguous in terms of methodology. With the purpose of easing the task of properly tuning the weights of the cost function, this thesis make its contribution from a perceptual-based approach using of active interactive Genetic Algorithms (aiGAs). The thesis pursues four major guidelines: i) accuracy when tuning the weights, ii) robustness of the obtained weights, iii)real world applicability of the methodology to any cost function design, and iv)finding consensus of the different users when tuning the weights. The experimentation is carried out through a small and medium sized corpus (1.9h) applied to different configurations (type of features) of the US-TTS cost function. The thesis concludes that aiGAs are highly competitive in comparison to other weight tuning techniques from the state-of-the-artPeer ReviewedPostprint (published version

Adaptación del CTH-URL para la competición ALBAYZIN 2008

En esta comunicación describimos el sistema de síntesis de voz presentado a la competición Albayzin 2008. Es un sistema que sigue un esquema clásico de concatenación de unidades basado en corpus. Cabe destacar que los costes de selección se han ajustado mediante un método basado en algoritmos genéticos y que no se ha utilizado ningún sistema de predicción prosódica. Se construyeron dos sistemas preliminares que diferían en el algoritmo de generación de forma de onda escogiendo el que se presenta a la competición mediante un test perceptual.Peer ReviewedPostprint (published version

Perceptual optimization of unit-selection text-to-speech synthesis systems by means of active interactive genetic algorithms

The tuning process of Unit Selection TTS (US-TTS) system is usually performed by an expert that typically conducts the task of weighting the cost function by hand. However, hand tuning is costly in terms of the required training time and inaccurate and ambiguous in terms of methodology. With the purpose of easing the task of properly tuning the weights of the cost function, this thesis make its contribution from a perceptual-based approach using of active interactive Genetic Algorithms (aiGAs). The thesis pursues four major guidelines: i) accuracy when tuning the weights, ii) robustness of the obtained weights, iii)real world applicability of the methodology to any cost function design, and iv)finding consensus of the different users when tuning the weights. The experimentation is carried out through a small and medium sized corpus (1.9h) applied to different configurations (type of features) of the US-TTS cost function. The thesis concludes that aiGAs are highly competitive in comparison to other weight tuning techniques from the state-of-the-artPeer Reviewe

Perceptual optimization of unit-selection text-to-speech synthesis systems by means of active interactive genetic algorithms

The tuning process of Unit Selection TTS (US-TTS) system is usually performed by an expert that typically conducts the task of weighting the cost function by hand. However, hand tuning is costly in terms of the required training time and inaccurate and ambiguous in terms of methodology. With the purpose of easing the task of properly tuning the weights of the cost function, this thesis make its contribution from a perceptual-based approach using of active interactive Genetic Algorithms (aiGAs). The thesis pursues four major guidelines: i) accuracy when tuning the weights, ii) robustness of the obtained weights, iii)real world applicability of the methodology to any cost function design, and iv)finding consensus of the different users when tuning the weights. The experimentation is carried out through a small and medium sized corpus (1.9h) applied to different configurations (type of features) of the US-TTS cost function. The thesis concludes that aiGAs are highly competitive in comparison to other weight tuning techniques from the state-of-the-artPeer Reviewe

Adaptación del CTH-URL para la competición ALBAYZIN 2008

En esta comunicación describimos el sistema de síntesis de voz presentado a la competición Albayzin 2008. Es un sistema que sigue un esquema clásico de concatenación de unidades basado en corpus. Cabe destacar que los costes de selección se han ajustado mediante un método basado en algoritmos genéticos y que no se ha utilizado ningún sistema de predicción prosódica. Se construyeron dos sistemas preliminares que diferían en el algoritmo de generación de forma de onda escogiendo el que se presenta a la competición mediante un test perceptual.Peer Reviewe

Adaptación del CTH-URL para la competición ALBAYZIN 2008

En esta comunicación describimos el sistema de síntesis de voz presentado a la competición Albayzin 2008. Es un sistema que sigue un esquema clásico de concatenación de unidades basado en corpus. Cabe destacar que los costes de selección se han ajustado mediante un método basado en algoritmos genéticos y que no se ha utilizado ningún sistema de predicción prosódica. Se construyeron dos sistemas preliminares que diferían en el algoritmo de generación de forma de onda escogiendo el que se presenta a la competición mediante un test perceptual.Peer Reviewe