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Perceptual Information Loss due to Impaired Speech Production

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Sound Pattern Matching for Automatic Prosodic Event Detection

Hervé Bourlard, Philip Neil Garner, Milos Cernak, Afsaneh Asaei, Pierre-Edouard Jean Charles Honnet

Prosody in speech is manifested by variations of loudness, exaggeration of pitch, and specific phonetic variations of prosodic segments. For example, in the stressed and unstressed syllables, there are differences in place or manner of articulation, vowels ...

Idiap2016

PAoS Markers: Trajectory Analysis of Selective Phonological Posteriors for Assessment of Progressive Apraxia of Speech

Milos Cernak, Afsaneh Asaei

Progressive apraxia of Speech (PAoS) is a progressive motor speech disorder associated with neurodegenerative disease causing impairment of phonetic encoding and motor speech planning. Clinical observation and acoustic studies show that duration analysis p ...

2016

Information-Theoretic Caching: Sequential Coding for Computing

Michael Christoph Gastpar, Sung Hoon Lim, Chien-Yi Wang

Under the paradigm of caching, partial data are delivered before the actual requests of users are known. In this paper, this problem is modeled as a canonical distributed source coding problem with side information, where the side information represents th ...

Institute of Electrical and Electronics Engineers2016

Phonological Vocoding Using Artificial Neural Networks

Philip Neil Garner, Milos Cernak

We investigate a vocoder based on artificial neural networks using a phonological speech representation. Speech decomposition is based on the phonological encoders, realised as neural network classifiers, that are trained for a particular language. The spe ...

IEEE2015

Phonological vocoding using artificial neural networks

Philip Neil Garner, Milos Cernak

Idiap2015

DNN-based Speech Synthesis: Importance of input features and training data

Philip Neil Garner

Deep neural networks (DNNs) have been recently introduced in speech synthesis. In this paper, an investigation on the importance of input features and training data on speaker dependent (SD) DNN-based speech synthesis is presented. Various aspects of the t ...

Springer Berlin Heidelberg2015

Speaker diarization of spontaneous meeting room conversations

Sree Harsha Yella

Speaker diarization is the task of identifying “who spoke when” in an audio stream containing multiple speakers. This is an unsupervised task as there is no a priori information about the speakers. Diagnostical studies on state-of-the-art diarization syste ...

EPFL2015

HMM-based Non-native Accent Assessment using Posterior Features

Milos Cernak, Ramya Rasipuram

Automatic non-native accent assessment has many potential benefits in language learning and speech technologies. The three fundamental challenges in automatic accent assessment are to characterize, model and assess individual variation in speech of the non ...

Idiap2015

Pliable Index Coding

Christina Fragouli, Siddhartha Brahma

We formulate a new variant of the index coding problem, where instead of demanding a specific message, clients are pliable, and are interested in receiving any t messages that they do not have. We term this problem pliable index coding or PICOD(t). We prov ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Speech vocoding for laboratory phonology

Milos Cernak

In this paper, we propose a platform based on phonological speech vocoding for examining relations between phonology and speech processing, and in broader terms, between the abstract and physical structures of speech signal. The goal of this paper is to go ...

Idiap2015