IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01.
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Brancusi, neo-plasticism, and the art of designing speech-recognition applications
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 9-14
Designing over-the-phone speech-recognition systems requires that designers have a design methodology and philosophy that enables them to understand how to research, design, evaluate and re-design their application.
#Subspace constraints #Art #Process design #Birds #Blades #Design methodology #Robustness #Production #Usability #Testing
The symbiosis of DSP and speech recognition or an outsider's view of the inside
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 1-4
From an historical review of how we got to where we are now, we discuss the interrelationship between our system design objectives and goals, our modeling of the speech signal and its generation and parameterization, and the broadly developing DSP methodology. We take a critical look at some of the underlying assumptions in. our modeling to see if they may be limiting the performance that can be o...... hiện toàn bộ
#Symbiosis #Digital signal processing #Speech recognition #Automatic speech recognition #Telephony #Speech synthesis #Physics #Laboratories #Speech coding #Mathematical model
Searching for the missing piece [speech recognition]
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 230-233
The tree-trellis forward-backward algorithm has been widely used for N-best searching in continuous speech recognition. In conventional approaches, the heuristic score used for the A* backward search is derived from the partial-path scores recorded during the forward pass. The inherently delayed use of a language model in the lexical tree structure leads to inefficient pruning and the partial-path...... hiện toàn bộ
#Lattices #Delay estimation #Speech #Tree data structures #Viterbi algorithm
Sự phụ thuộc cú pháp phong phú hơn cho mô hình ngôn ngữ có cấu trúc Dịch bởi AI
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 206-209
Bài báo này nghiên cứu việc sử dụng các phụ thuộc cú pháp phong phú hơn trong mô hình ngôn ngữ có cấu trúc (SLM). Chúng tôi trình bày hai phương pháp đơn giản để làm phong phú thêm các phụ thuộc trong cây phân tích cú pháp được sử dụng để khởi tạo SLM. Chúng tôi đánh giá tác động của cả hai phương pháp đối với perplexity (PPL) và tỷ lệ lỗi từ (WER, N-best rescoring) của SLM. Chúng tôi cho thấy rằn...... hiện toàn bộ
#Ngôn ngữ tự nhiên #Con người #Xử lý âm thanh #Mô hình dự đoán
Example-based query generation for spontaneous speech
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 268-271
This paper proposes a new query generation method that is based on examples of human-to-human dialogue. Along with modeling the information flow in dialogue, a system for information retrieval in-car has been designed. The system refers to the dialogue corpus to find an example that is similar to input speech, and makes a query from the example. We also give the experimental results to show the ef...... hiện toàn bộ
#Speech #Information retrieval #Databases #Humans #Acoustical engineering #Natural languages #Robustness
Vocabulary independent speech recognition using particles
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 315-318
A method is presented for performing speech recognition that is not dependent on a fixed word vocabulary. Particles are used as the recognition units in a speech recognition system which permits word-vocabulary independent speech decoding. A particle represents a concatenated phone sequence. Each string of particles that represents a word in the one-best hypothesis from the particle speech recogni...... hiện toàn bộ
#Vocabulary #Speech recognition #Decoding #Indexing #Concatenated codes #Automatic speech recognition #Laboratories #Speech analysis #Linear approximation #Natural languages
Internet evolution and progress in full automatic French language modelling
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 363-366
The World Wide Web is the greatest information space ever seen, distributed all over the world, in many languages, on many various topics. We first describe the evolution of a French subset of this space during the last 3 years. During this time, the size of automatically extracted text for language modelling has multiplied by 6.5. Moreover, French coverage has grown from 140,000 to 200,000 lexica...... hiện toàn bộ
#Internet #Natural languages #Speech recognition #Web server #Robots #HTML #Web sites #Data mining #Crawlers #Stochastic processes
Beyond the Informedia digital video library: video and audio analysis for remembering conversations
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 296-300
The Informedia Project digital video library pioneered the automatic analysis of television broadcast news and its retrieval on demand. Building on that system, we have developed a wearable, personalized Informedia system, which listens to and transcribes the wearer's part of a conversation, recognizes the face of the current dialog partner and remembers his/her voice. The next time the system see...... hiện toàn bộ
#Software libraries #Digital video broadcasting #Digital audio broadcasting #Face recognition #Speech recognition #Space technology #Global Positioning System #Computer science #TV broadcasting #Automatic speech recognition
2001 IEEE Workshop on Automatic Speech Recognition and Understanding. ASRU 2001. Conference Proceedings (Cat. No.01EX544)
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang i - 2001
Presents the front cover of the proceedings record.
Investigating stochastic speech understanding
IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01. - - Trang 260-263
The need for human expertise in the development of a speech understanding system can be greatly reduced by the use of stochastic techniques. However corpus-based techniques require the annotation of large amounts of training data. Manual semantic annotation of such corpora is tedious, expensive, and subject to inconsistencies. This work investigates the influence of the training corpus size on the...... hiện toàn bộ
#Stochastic processes #Costs #Natural languages #Stochastic systems #Humans #Data mining #Speech analysis #Training data #Performance evaluation #Telephony
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