tailieunhanh - Báo cáo khoa học: "AUTOMATIC SPEECH RECOGNITION AND ITS APPLICATION TO INFORMATION EXTRACTION"

This paper describes recent progress and the author's perspectives of speech recognition technology. Applications of speech recognition technology can be classified into two main areas, dictation and human-computer dialogue systems. In the dictation domain, the automatic broadcast news transcription is now actively investigated, especially under the DARPA project. | AUTOMATIC SPEECH RECOGNITION AND ITS APPLICATION TO INFORMATION EXTRACTION Sadaoki Furui Department of Computer Science Tokyo Institute of Technology 2-12-1 Ookayama Meguro-ku Tokyo 152-8552 Japan furui@ ABSTRACT This paper describes recent progress and the author s perspectives of speech recognition technology. Applications of speech recognition technology can be classified into two main areas dictation and human-computer dialogue systems. In the dictation domain the automatic broadcast news transcription is now actively investigated especially under the DARPA project. The broadcast news dictation technology has recently been integrated with information extraction and retrieval technology and many application systems such as automatic voice document indexing and retrieval systems are under development. In the human-computer interaction domain a variety of experimental systems for information retrieval through spoken dialogue are being investigated. In spite of the remarkable recent progress we are still behind our ultimate goal of understanding free conversational speech uttered by any speaker under any environment. This paper also describes the most important research issues that we should attack in order to advance to our ultimate goal of fluent speech recognition. 1. INTRODUCTION The field of automatic speech recognition has witnessed a number of significant advances in the past 5-10 years spurred on by advances in signal processing algorithms computational architectures and hardware. These advances include the widespread adoption of a statistical pattern recognition paradigm a data-driven approach which makes use of a rich set of speech utterances from a large population of speakers the use of stochastic acoustic and language modeling and the use of dynamic programmingbased search methods. A series of D ARPA projects have been a major driving force of the recent progress in research on large-vocabulary continuous-speech recognition. Specifically

• Báo cáo khoa học
• AUTOMATIC SPEECH RECOGNITION
• APPLICATION TO INFORMATION EXTRACTION
• Sadaoki Furui
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Vietnamese corpora
• Vietnamese Speech recognition
• Existing ASR systems
• Acoustic model training
• Speech and language processing
• Natural language processing
• Computational linguistics
• Speech recognition
• Dependency parsing
• Semantic role labeling
• Journal of Automation and Control Engineering
• Automatic error correction for repeated words
• Mandarin speech recognition
• Continuous speech recognition
• Character confusion network
• Initial Mandarin recognition
• Neural network based tonal feature
• Multi space distribution model
• Multi Space Distribution Hidden Markov Model
• Vietnamese Automatic Speech recognition
• Improving Automatic Speech Recognition for Lectures
• Transformation based Rules Learned
• Minimal Data
• báo cáo ngôn ngữ
• Grounded Language Modeling
• Sports Video
• Distributed Listening A Parallel Processing Approach to Automatic
• Yolanda McMillian
• WordNet based Semantic Relatedness Measures
• Automatic Speech Recognition for Meetings
• Michael Pucher
• Automatic Detectio
• Poor Speech Recognition
• Dialogue Level
• AN AUTOMATIC SPEECH RECOGNITION SYSTEM
• ITALIAN LANGUAGE
• Long Papers
• scientific reports
• model language
• process natural language
• The robust ASR using uncertainty of observation techniques
• The robust ASR
• The robustness of ASR however
• Applying text selection method
• Deep neural network
• Convolution neural network
• In domain language model
• Introduction to natural language processing
• Part of speech tagging
• Maximum entropy models
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Mathematical Modeling
• Voice Conversion
• Automatic Visual
• Recognition of Emotion
• Multi Talker Reverberated Scenarios
• Multi Resolution Spectral Analysis
• TIMIT versus Switchboard
• IMPLICATIONS FOR ASR MODELS
• công nghệ thông tin
• Journal of science
• Learner content interaction
• English learning course at a Vietnamese university
• English learning course
• Infancy like Vietnam
• Providing continuous technical support
• Transcription system
• Force alignment procedure
• Discriminative training
• State of the art Vietnamese ASR