Juan Manuel Montero-Martínez

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We have applied two state-of-the-art speech synthesis techniques (unit selection and HMM-based synthesis) to the synthesis of emotional speech. A series of carefully designed perceptual tests to evaluate speech quality, emotion identification rates and emotional strength were used for the six emotions which we recorded – happiness, sadness, anger, surprise,(More)
In this paper we present a revision and evaluation of some of the main methods used in variable frame rate (VFR) analysis, applied to speech recognition systems. The work found in the literature in this area usually deals with restricted conditions and scenarios and we have revisited the main algorithmic alternatives and evaluated them under the same(More)
In the EU funded IDAS project (LE4-8315), demonstrators providing an automated interactive telephone-based directory assistance service have been developed by ten partners from Germany, Greece, Spain and Switzerland [6]. In this paper we will focus in the Spanish demonstrator. In particular, we will describe the following aspects: The general architecture(More)
This paper describes the development of and the first experiments in a Spanish to sign language translation system in a real domain. The developed system focuses on the sentences spoken by an official when assisting people applying for, or renewing their Identity Card. The system translates official explanations into Spanish Sign Language (LSE: Lengua de(More)
Modern Speech synthesisers have achieved a high degree of intelligibility, but can not be regarded as natural-sounding devices. In order to decrease the monotony of synthetic speech, the implementation of emotional effects is now being progressively considered. This paper presents a through study of emotional speech in Spanish, and its application to TTS,(More)
—This paper presents an approach to design Electronic Systems Curricula for making electronics more appealing to students. Since electronics is an important grounding for other disciplines (computer science, signal processing, and communications), this approach proposes the development of multidisciplinary projects using the project-based learning (PBL)(More)
This paper presents the development of a speech interface for controlling a high fidelity system from natural language sentences. A Bayesian Belief Network approach is proposed for dialog modeling. This solution is applied to infer the user's goals corresponding to the processed utterances. Subsequently, from the inferred goals, missing or spurious concepts(More)
It is known that the emotional state of a speaker usually alters the way she/he speaks. Although all the components of the voice can be affected by emotion in some statistically-significant way, not all these deviations from a neutral voice are identified by human listeners as conveying emotional information. In this paper we have carried out several(More)
Accurate prediction of segmental duration from text in a text-to-speech system is difficult for several reasons. One specially relevant is the great quantity of contextual factors that affect timing and how to model them. There are many parameters that affect duration, but not all of them are always relevant. We present a complete environment in which to(More)