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Results 1 - 10
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1,302
Lightly Supervised and Unsupervised Acoustic Model Training
- Computer Speech and Language
, 2002
"... The last decade has witnessed substantial progress in speech recognition technology, with todays state-of-the-art systems being able to transcribe unrestricted broadcast news audio data with a word error of about 20%. ..."
Abstract
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Cited by 88 (10 self)
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The last decade has witnessed substantial progress in speech recognition technology, with todays state-of-the-art systems being able to transcribe unrestricted broadcast news audio data with a word error of about 20%.
Automatic Segmentation, Classification and Clustering of Broadcast News Audio
- Proc. DARPA Speech Recognition Workshop
, 1997
"... Automatic recognition of broadcast feeds from radio and television sources has been gaining importance recently, especially with the success of systems such as the CMU Informedia system [1]. In this work we describe the problems faced in adapting a system built to recognize one utterance at a time t ..."
Abstract
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Cited by 150 (11 self)
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to a task that requires recognition of an entire half hour show. We break the problem into three components: segmentation, classification, and clustering. We show that a priori knowledge of acoustic conditions and speakers in the broadcast data is not required for segmentation. The system is able
An Algorithm that Learns What's in a Name
, 1999
"... In this paper, we present IdentiFinder^TM, a hidden Markov model that learns to recognize and classify names, dates, times, and numerical quantities. We have evaluated the model in English (based on data from the Sixth and Seventh Message Understanding Conferences [MUC-6, MUC-7] and broadcast news) ..."
Abstract
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Cited by 372 (7 self)
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In this paper, we present IdentiFinder^TM, a hidden Markov model that learns to recognize and classify names, dates, times, and numerical quantities. We have evaluated the model in English (based on data from the Sixth and Seventh Message Understanding Conferences [MUC-6, MUC-7] and broadcast news
Topic Detection and Tracking Pilot Study Final Report
- IN PROCEEDINGS OF THE DARPA BROADCAST NEWS TRANSCRIPTION AND UNDERSTANDING WORKSHOP
, 1998
"... Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the art in finding and following new events in a stream of broadcast news stories. The TDT problem consists of three major tasks: (1) segmenting a stream of data, especially recognized speech, into distinc ..."
Abstract
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Cited by 313 (34 self)
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Topic Detection and Tracking (TDT) is a DARPA-sponsored initiative to investigate the state of the art in finding and following new events in a stream of broadcast news stories. The TDT problem consists of three major tasks: (1) segmenting a stream of data, especially recognized speech
Classification Of Audio Events In Broadcast News
- in Proc. IEEE Workshop on Multimedia Signal Processing
, 1998
"... This paper describes our approach to discriminate news report from others such as commercials and music in broadcast news programs based on audio information. The reported work here is part of the effort at AT&T to hierarchically segment broadcast news programs into semantically meaningful units ..."
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This paper describes our approach to discriminate news report from others such as commercials and music in broadcast news programs based on audio information. The reported work here is part of the effort at AT&T to hierarchically segment broadcast news programs into semantically meaningful
The LIMSI Broadcast News Transcription System
- Speech Communication
, 2002
"... This paper reports on activites at LIMSI over the last few years directed at the transcription of broadcast news data. We describe our development work in moving from laboratory read speech data to real-world or `found' speech data in preparation for the ARPA Nov96, Nov97 and Nov98 evaluatio ..."
Abstract
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Cited by 131 (12 self)
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This paper reports on activites at LIMSI over the last few years directed at the transcription of broadcast news data. We describe our development work in moving from laboratory read speech data to real-world or `found' speech data in preparation for the ARPA Nov96, Nov97 and Nov98
Complementary video and audio analysis for broadcast news archives
- Communications of the ACM
"... The Informedia Digital Video Library system extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted 'metadata ' enables users to rapidly find interesting news stories and to quickly identify whether a retrieved ..."
Abstract
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Cited by 20 (1 self)
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The Informedia Digital Video Library system extracts information from digitized video sources and allows full content search and retrieval over all extracted data. This extracted 'metadata ' enables users to rapidly find interesting news stories and to quickly identify whether a retrieved
Audio-Visual Speaker Recognition for Video Broadcast News
- in DARPA HUB4 Workshop, Washington D.C
, 2000
"... this paper, we present some encouraging preliminary results for audio-visual speaker recognition for TV broadcast news data #CNN#. ..."
Abstract
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Cited by 4 (0 self)
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this paper, we present some encouraging preliminary results for audio-visual speaker recognition for TV broadcast news data #CNN#.
Audio-Indexing For Broadcast News
- in Proceedings of TREC6
, 1997
"... In this paper we describe the IBM Audio-Indexing System which is a combination of a large vocabulary speech recognizer and a text-based information retrieval system. Our speech recognizer was used to produce the baseline transcripts for the NIST SDR97 evaluation. We report the performance of the sys ..."
Abstract
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Cited by 17 (1 self)
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In this paper we describe the IBM Audio-Indexing System which is a combination of a large vocabulary speech recognizer and a text-based information retrieval system. Our speech recognizer was used to produce the baseline transcripts for the NIST SDR97 evaluation. We report the performance
Audio Indexing and Retrieval of Complete Broadcast News Shows
, 2000
"... This paper describes a system for retrieving relevant portions of complete broadcast news shows starting with only the audio data. A novel system of automatically detecting and removing commercials is described and shown to increase the performance of the system whilst also reducing the computationa ..."
Abstract
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Cited by 8 (2 self)
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This paper describes a system for retrieving relevant portions of complete broadcast news shows starting with only the audio data. A novel system of automatically detecting and removing commercials is described and shown to increase the performance of the system whilst also reducing
Results 1 - 10
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