Publications related to Wide-Band Audio Coding based on Frequency Domain Linear Prediction

Bob Speaks Kaldi

Sébastien Marcel, Milos Cernak, André Anjos, Amir Mohammadi

This paper introduces and demonstrates Kaldi integration into Bob signal-processing and machine learning toolbox. The motivation for this integration is two-fold. Firstly, Bob benefits from using advanced speech processing tools developed in Kaldi. Secondl ...

2017

Predicting the intrusiveness of noise through sparse coding with auditory kernels

Hervé Bourlard, Raphaël Marc Ullmann

This paper presents a novel approach to predicting the intrusiveness of background noises in speech signals as it is perceived by human listeners. This problem is of particular interest in telephony, where the recently widened range of transmitted audio fr ...

2016

"Can you hear me now?"

Raphaël Marc Ullmann

This thesis deals with signal-based methods that predict how listeners perceive speech quality in telecommunications. Such tools, called objective quality measures, are of great interest in the telecommunications industry to evaluate how new or deployed sy ...

EPFL2016

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

Phonological features extracted by neural network have shown interesting potential for low bit rate speech vocoding. The span of phonological features is wider than the span of phonetic features, and thus fewer frames need to be transmitted. Moreover, the ...

2015

A simple continuous excitation model for parametric vocoding

Philip Neil Garner, Milos Cernak

We describe a continuous-pitch parametric vocoder suitable for speech coding and statistical text to speech synthesis. The spectral model is based on linear prediction. We show that glottal modelling techniques from recent literature can be cherry-picked t ...

Idiap2015

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

Philip Neil Garner, Milos Cernak

Current HMM-based low bit rate speech coding systems work with phonetic vocoders. Pitch contour coding (on frame or phoneme level) is usually fairly orthogonal to other speech coding parameters. We make an assumption in our work that the speech signal cont ...

Idiap2013

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

A Simple Continuous Pitch Estimation Algorithm

Petr Motlicek, Philip Neil Garner, Milos Cernak

Recent work in text to speech synthesis has pointed to the benefit of using a continuous pitch estimate; that is, one that records pitch even when voicing is not present. Such an approach typically requires interpolation. The purpose of this paper is to sh ...

2013

Progress report of a project in very low bit-rate speech coding

Petr Motlicek, Philip Neil Garner, Milos Cernak

Background work in various levels of speech coding is reviewed, including unconstrained coding and recognition-synthesis approaches that assume the signal is speech. A pilot project in HMM-TTS based speech coding is then described, in which a comparison wi ...

Idiap2012

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

Wide-Band Audio Coding based on Frequency Domain Linear Prediction

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Bob Speaks Kaldi

Predicting the intrusiveness of noise through sparse coding with auditory kernels

"Can you hear me now?"

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

A simple continuous excitation model for parametric vocoding

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

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

A Simple Continuous Pitch Estimation Algorithm

Progress report of a project in very low bit-rate speech coding

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

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture

"Can you hear me now?"

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

Progress report of a project in very low bit-rate speech coding

A simple continuous excitation model for parametric vocoding

A Simple Continuous Pitch Estimation Algorithm

Predicting the intrusiveness of noise through sparse coding with auditory kernels

Bob Speaks Kaldi

On Compressibility of Neural Network phonological Features for Low Bit Rate Speech Coding

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