Person

Milos Cernak

This person is no longer with EPFL

Related publications (43)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Abstract Amplitude demodulation (AM) is a signal decomposition technique by which a signal can be decomposed to a product of two signals, i.e, a quickly varying carrier and a slowly varying modulator. In this work, the probabilistic amplitude demodulation ...

Idiap2016

Probabilistic Amplitude Demodulation Features in Speech Synthesis for Improving Prosody

Philip Neil Garner, Milos Cernak

Amplitude demodulation (AM) is a signal decomposition technique by which a signal can be decomposed to a product of two signals, i.e, a quickly varying carrier and a slowly varying modulator. In this work, the probabilistic amplitude demodulation (PAD) fea ...

2016

Automatic non-native accent assessment has 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-nati ...

2016

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

, ,

This paper shows that exemplar-based speech processing using class-conditional posterior probabilities admits a highly effective search strategy relying on posteriors' intrinsic sparsity structures. The posterior probabilities are estimated for phonetic an ...

Idiap2016

, ,

2016

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

On Structured Sparsity of Phonological Posteriors for Linguistic Parsing

Hervé Bourlard, Milos Cernak, Afsaneh Asaei

The speech signal conveys information on different time scales from short (20--40 ms) time scale or segmental, associated to phonological and phonetic information to long (150--250 ms) time scale or supra segmental, associated to syllabic and prosodic info ...

Elsevier2016