Publications related to Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition

A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation

Mathew Magimai Doss, Chandra Sekhar Seelamantula

We address the classical problem of delta feature computation, and interpret the operation involved in terms of Savitzky-Golay (SG) filtering. Features such as the mel-frequency cepstral coefficients (MFCCs), obtained based on short-time spectra of the spe ...

2013

Bias Adaptation for Vocal Tract Length Normalization

Philip Neil Garner, John David Scott Dines, Lakshmi Babu Saheer

Vocal tract length normalisation (VTLN) is a well known rapid adaptation technique. VTLN as a linear transformation in the cepstral domain results in the scaling and translation factors. The warping factor represents the spectral scaling parameter. While, ...

Idiap2013

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

John David Scott Dines, Hui Liang, Lakshmi Babu Saheer, Matthew Gibson, Simon King

In this paper we present results of unsupervised cross-lingual speaker adaptation applied to text-to-speech synthesis. The application of our research is the personalisation of speech-to-speech translation in which we employ a HMM statistical framework for ...

2013

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Jean-Philippe Thiran

Tracking vocal tract formant frequencies (

f_p

) and estimating the fundamental frequency (

f_0

) are two tracking problems that have been tackled in many speech processing works, often independently, with applications to articulatory parameters estimation ...

Institute of Electrical and Electronics Engineers2013

Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition

Ramya Rasipuram

Standard hidden Markov model (HMM) based automatic speech recognition (ASR) systems use phonemes as subword units. Thus, development of ASR system for a new language or domain depends upon the availability of a phoneme lexicon in the target language. In th ...

Idiap2013

Text Recognition in Natural Images Using Multiclass Hough Forests

Sabine Süsstrunk, Radhakrishna Achanta, Gökhan Yildirim

Text detection and recognition in natural images are popular yet unsolved problems in computer vision. In this paper, we propose a technique that attempts to detect and recognize text in a unified manner by searching for words directly without reducing the ...

2013

Multi-parametric source-filter separation of speech and prosodic voice restoration

Olaf Schleusing

In this thesis, methods and models are developed and presented aiming at the estimation, restoration and transformation of the characteristics of human speech. During a first period of the thesis, a concept was developed that allows restoring prosodic voic ...

EPFL2012

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

Philip Neil Garner, John David Scott Dines, Lakshmi Babu Saheer

Recent research has demonstrated the effectiveness of vocal tract length normalization (VTLN) as a rapid adaptation technique for statistical parametric speech synthesis. VTLN produces speech with naturalness preferable to that of MLLR- based adaptation te ...

Idiap2012

Data-Driven Enhancement of State Mapping-Based Cross-Lingual Speaker Adaptation

Hui Liang

The thesis work was motivated by the goal of developing personalized speech-to-speech translation and focused on one of its key component techniques – cross-lingual speaker adaptation for text-to-speech synthesis. A personalized speech-to-speech translator ...

EPFL2012

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Philip Neil Garner, John David Scott Dines, Hui Liang, Lakshmi Babu Saheer

Cross-lingual speaker adaptation (CLSA) has emerged as a new challenge in statistical parametric speech syn- thesis, with specific application to speech-to-speech translation. Recent research has shown that reasonable speaker similarity can be achieved in ...

Idiap2012

Unified Framework Of Feature Based Adaptation For Statistical Speech Synthesis And Recognition

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A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation

Bias Adaptation for Vocal Tract Length Normalization

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition

Text Recognition in Natural Images Using Multiclass Hough Forests

Multi-parametric source-filter separation of speech and prosodic voice restoration

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

Data-Driven Enhancement of State Mapping-Based Cross-Lingual Speaker Adaptation

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Probabilistic Lexical Modeling and Grapheme-based Automatic Speech Recognition

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis

Data-Driven Enhancement of State Mapping-Based Cross-Lingual Speaker Adaptation

Bias Adaptation for Vocal Tract Length Normalization

Source/Filter Factorial Hidden Markov Model, with Application to Pitch and Formant Tracking

A Savitzky-Golay Filtering Perspective of Dynamic Feature Computation

Combining Vocal Tract Length Normalization with Linear Transformations in a Bayesian Framework

VTLN-Based Rapid Cross-Lingual Adaptation for Statistical Parametric Speech Synthesis

Text Recognition in Natural Images Using Multiclass Hough Forests

Multi-parametric source-filter separation of speech and prosodic voice restoration