Results 261 to 270 of about 46,840 (304)

Discriminant-function-based minimum recognition error rate pattern-recognition approach to speech recognition

Proceedings of the IEEE, 2000
A discriminant function-based minimum recognition error rate pattern recognition approach is described and studied for various applications in speech processing. This approach departs from the conventional paradigm, which links a classification/recognition task to the problem of distribution estimation.
Wu Chou
exaly   +2 more sources

Joint decoding of multiple speech patterns for robust speech recognition

2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU), 2007
We are addressing a new problem of improving automatic speech recognition performance, given multiple utterances of patterns from the same class. We have formulated the problem of jointly decoding K multiple patterns given a single hidden Markov model.
Nishanth Ulhas Nair, T. V. Sreenivas
openaire   +2 more sources

Study on Speech Recognition of Greeting Based on Biomimetic Pattern Recognition

2010 2nd International Workshop on Intelligent Systems and Applications, 2010
This paper presents a research method to directly recognize greeting voice without segmentation to avoid error recognition because of error segmentation. The basic principle of biomimetic pattern recognition is applied to speaker-independent and continuous speech recognition of greeting.
Hong Ye, Youzheng Zhang, Jianwei Shen
exaly   +2 more sources

A pattern classification technique for speech recognition

IEEE Transactions on Audio and Electroacoustics, 1971
A description is given of an unusual pattern recognition technique which has been used in an experimental speech recognition system. Preliminary results obtained using this technique are reported. The speech analyzer produces a multichannel ternary signal at its output, which is the short term digital autocorrelation function of the input signal.
exaly   +2 more sources

LSI implementation of a pattern matching algorithm for speech recognition

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985
Many speech recognition systems contain the foUowing functional blocks: a voice input circuit, a feature extractor (analyzer), a unit for calculating the distance between input and standard patterns at every frame, a memory for storing standard patterns, a unit for matching whole word patterns (a pattern matching circuit), and a final decision and ...
Yoshiaki Kitazume, Eiji Ohira, Takeyuki Endo   +2 more
exaly   +2 more sources

Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques

Knowledge-Based Systems, 2021
Speech emotion recognition is one of the challenging research issues in the knowledge-based system and various methods have been recommended to reach high classification capability.
Türker Tuncer, Sengül Dogan, U Rajendra Acharya   +2 more
exaly   +2 more sources

Evaluation of a novel fuzzy sequential pattern recognition tool (fuzzy elastic matching machine) and its applications in speech and handwriting recognition

Applied Soft Computing Journal, 2018
Sequential pattern recognition has long been an important topic of soft computing research with a wide area of applications including speech and handwriting recognition.
Saeed Bagheri Shouraki, Shahmoradi, Sina, Shouraki, Saeed Bagheri, Sina Shahmoradi   +3 more
exaly   +2 more sources

PATTERN RECOGNITION ISSUES IN SPEECH PROCESSING

2001
B Yegnanarayana, C Chandra Sekhar
exaly   +2 more sources

PATTERN RECOGNITION APPROACHES FOR SPEECH-TO-SPEECH TRANSLATION

Cybernetics and Systems, 2004
We propose a statistical approach to speech-to-speech translation that uses finite-state models in all levels. Acoustic hidden Markov models (HMMs) model the pronunciation of the input-language phonemes and words, while the input–output word mapping, along with the syntax of the output language, are jointly modeled by means a large stochastic finite ...
Francisco Casacuberta, Enrique Vidal 0001, Alberto Sanchís, Juan Miguel Vilar   +3 more
openaire   +1 more source

A MINIMUM ERROR RATE PATTERN RECOGNITION APPROACH TO SPEECH RECOGNITION

International Journal of Pattern Recognition and Artificial Intelligence, 1994
In this paper, a minimum error rate pattern recognition approach to speech recognition is studied with particular emphasis on the speech recognizer designs based on hidden Markov models (HMMs) and Viterbi decoding. This approach differs from the traditional maximum likelihood based approach in that the objective of the recognition error rate ...
Wu Chou, Chin-Hui Lee, Biing-Hwang Juang, Frank K. Soong   +3 more
openaire   +1 more source