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MUNST project

These pages are no longer up-to-date. The activities are now carried on in the HLT research unit. This research line aims at advancing and developing spoken language processing technology in two major research areas: audio digital libraries and speech translation. Research is focused on fundamental issues as speech recognition for unconstrained language, ` atypical' speakers, e.g. children, audio content indexing, cross-language spoken document retrieval, and statistical speech translation. International...

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MUNST project | munst.fbk.eu Reviews
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These pages are no longer up-to-date. The activities are now carried on in the HLT research unit. This research line aims at advancing and developing spoken language processing technology in two major research areas: audio digital libraries and speech translation. Research is focused on fundamental issues as speech recognition for unconstrained language, ` atypical' speakers, e.g. children, audio content indexing, cross-language spoken document retrieval, and statistical speech translation. International...
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MUNST project | munst.fbk.eu Reviews

https://munst.fbk.eu

These pages are no longer up-to-date. The activities are now carried on in the HLT research unit. This research line aims at advancing and developing spoken language processing technology in two major research areas: audio digital libraries and speech translation. Research is focused on fundamental issues as speech recognition for unconstrained language, ` atypical' speakers, e.g. children, audio content indexing, cross-language spoken document retrieval, and statistical speech translation. International...

INTERNAL PAGES

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1

MUNST meetings

http://munst.fbk.eu/seminars.html

31 July, h. 10:00, Sala Consiglio Scientifico, [public]. Helmer Strik (U. Nijmegen, NL), "Episodic Speech Recognition". 26 May, h. 11:00, Sala Consiglio Scientifico [public]. Georg Stemmer (U. Erlangen, D), "Robust Speech Recognition for Children". 14 May, h. 11:00, Sala Consiglio Scientifico [public]. Helmer Strik (U. Nijmegen, D), "On automatic Speech Recognition and Pronunciation". 28 February 2003, h. 14:30, Sala Consiglio Scientifico [public]. Erwin Leeuwis, " Language Modelling for English Lectures.

2

MUNST meetings

http://munst.fbk.eu/clef-sdr.html

Cross-Language Spoken Document Retrieval (CL-SDR). After preliminary work carried out during 2002, we are pleased to propose a cross-language. Spoken document retrieval track for CLEF 2003. The track is mostly based on existing resources,. Kindly made available by NIST, which were used at TREC 8 and 9. Hence, the track results closer. To a benchmark than to a real evaluation. Benchmark Track of 2003. It derives from an extension of evaluation data prepared by NIST for TREC 8-9 SDR tracks:. D) Parallel do...

3

MUNST project: an Italian Broadcast News Corpus

http://munst.fbk.eu/rai.html

An Italian Broadcast News Corpus. This project aims at collecting a multimedia corpus of radio broadcast news in Italian. The corpus will include audio signal, transcription and documentation for the users. Broadcast news will be acquired for the digital archive of the Italian major broadcaster Radio RAI. Hence, the project aims at producing a new language resource starting from digital audio recordings. Transcription specifications (in Italian). This page is mantained by Paolo Coletti.

4

MUNST project

http://munst.fbk.eu/index.html

These pages are no longer up-to-date. The activities are now carried on in the HLT research unit. This research line aims at advancing and developing spoken language processing technology in two major research areas: audio digital libraries and speech translation. Research is focused on fundamental issues as speech recognition for unconstrained language, ` atypical' speakers, e.g. children, audio content indexing, cross-language spoken document retrieval, and statistical speech translation. International...

5

MUNST project: thesis

http://munst.fbk.eu/phd-courses.html

Courses 2002/2003 at ICT. Statistical Spoken Language Processing. The course will introduce statistical methods for speech and language processing through the analysis of a case study: the news-on-demand system currently under development at ITC-irst. Hence, by assuming an audio/video stream of a broadcast news program, the course will cover the following issues:. Audio partitioning: how to find and classify speech segments;. Speech transcription: how to convert speech segments into corresponding text;.

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