Word recognition using synthesized templates
نویسندگان
چکیده
With the ultimate aim of creating a knowledge based speech understanding system, we have set up a conceptual framework named NEBULA. In this paper we briefly describe some of the components of this framework and also report on some experiments where we use a production component for generating reference data for the recognition. The production component in the form of a speech synthesis system will ideally make the collection of training data unnecessary. Preliminary results of an isolated word recognition experiment will be presented and discussed. Several methods of interfacing the production component to the recognition/evaluation component have been pursued.
منابع مشابه
On Creating Reference Templates for Speaker Independent Recognition of Isolated Words
The three aspects of a statistical approach to a pattern recognition problem are the selection of features, choice of a measure of similarity, and a method for creating the reference templates (patterns) used in the statistical tests. This paper discusses a philosophy for creating reference templates for a speaker independent, isolated word recognition system. Although there remain many unanswe...
متن کاملRobust word spotting in adverse car environments
This paper presents a novel word recognition technique which allows hand-free dialing under adverse car environments. The algorithm is based on speaker dependent word spotting. The paper compared and investigated the methods of spectral subtraction, short time modi ed coherence, multi-microphone, dynamic and accelerated features, weighted distance measures and multi-templates by word recognitio...
متن کاملCASRA+: A Colloquial Arabic Speech Recognition Application
The research proposed here was for an Arabic speech recognition application, concentrating on the Lebanese dialect. The system starts by sampling the speech, which was the process of transforming the sound from analog to digital and then extracts the features by using the Mel-Frequency Cepstral Coefficients (MFCC). The extracted features are then compared with the system's stored model; in this...
متن کاملSpeaker independent recognition of isolated words using clustering techniques
A speaker-independent isolated word recognition system is described which is based on the use of multiple templates for each word in the vocabulary. The word templates are obtained from a statistical clustering analysis of a large database consisting of 100 replications of each word (i.e., once by each of 100 bIkers). The recognition system, which accepts telephone quality speech input, is base...
متن کاملDevelopment of Isolated Word Speech Recognition System
The isolated word speech recognition system based on dynamic time warping (DTW) has been developed. Speaker adaptation is performed using speaker recognition techniques. Vector quantization is used to create reference templates for speaker recognition. Linear predictive coding (LPC) parameters are used as features for recognition. Performance is evaluated using 12 words of Lithuanian language p...
متن کامل