Concept

Dialogue system

Related publications (84)

Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

Automatic Speech Recognition (ASR) can introduce higher levels of automation into Air Traffic Control (ATC), where spoken language is still the predominant form of communication. While ATC uses standard phraseology and a limited vocabulary, we need to adap ...

2017

Semi-supervised Learning with Semantic Knowledge Extraction for Improved Speech Recognition in Air Traffic Control

Petr Motlicek

Idiap2017

Integrated Pronunciation Learning for Automatic Speech Recognition Using Probabilistic Lexical Modeling

Ramya Rasipuram, Marzieh Razavi

Standard automatic speech recognition (ASR) systems use phoneme-based pronunciation lexicon prepared by linguistic experts. When the hand crafted pronunciations fail to cover the vocabulary of a new domain, a grapheme-to-phoneme (G2P) converter is used to ...

2015

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 sys ...

EPFL2015

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hervé Bourlard, Ramya Rasipuram, Raphaël Marc Ullmann

Objective assessment of synthetic speech intelligibility can be a useful tool for the development of text-to-speech (TTS) systems, as it provides a reproducible and inexpensive alternative to subjective listening tests. In a recent work, it was shown that ...

Idiap2015

Objective Intelligibility Assessment of Text-to-Speech Systems Through Utterance Verification

Hervé Bourlard, Ramya Rasipuram, Raphaël Marc Ullmann

2015

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

The DBOX Corpus Collection of Spoken Human-Human and Human-Machine Dialogues

Petr Motlicek, John David Scott Dines

This paper describes the data collection and annotation carried out within the DBOX project ( Eureka project, number E! 7152). This project aims to develop interactive games based on spoken natural language human-computer dialogues, in 3 European languages ...

European Language Resources Association (ELRA)2014

Development of Bilingual ASR System for MediaParl Corpus

Petr Motlicek, Milos Cernak, David Imseng

The development of an Automatic Speech Recognition (ASR) system for the bilingual MediaParl corpus is challenging for several reasons: (1) reverberant recordings, (2) accented speech, and (3) no prior information about the language. In that context, we emp ...

ISCA2014

Development of Bilingual ASR System for MediaParl Corpus

Petr Motlicek, Milos Cernak, David Imseng

Idiap2014

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