Zero-crossing analysis technique in speech and speaker recognition
نویسنده
چکیده
The resul ts of previous studies showed a possibili ty of application of zero-crossing rates as parameters for speech and speaker recognition The paper presents a method for obtaining these parameters and the resul ts of experiments carried out in order to estimate the absolute and relative discriminating power of zero-crossing parameters in speech and speaker recogni tion. As a basic test material 6 repeti tions of 6 Polish vowels produced by 6 speakers were used. The resul ts of the experiments utilizing the distribution of time intervals between the zero-crossings of the speech signal indicate a good effectiveness of these parameters both for speech and speaker recognition.
منابع مشابه
Assamese Vowel Phoneme Recognition Using Zero Crossing Rate and Short-time Energy
Speaker recognition is the identification of the person who is speaking by the characteristics of their voices. Assamese is a Indo-Aryan family of languages, mainly spoken in the North-Eastern of India. In this paper text dependent speaker modelling technique is used. The system contains training phase, the testing phase and the recognition phase. The database consists of utterance of 10 speake...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملComparative Analysis of Machine Learning Algorithms for Audio Signals Classification
ABSTARCT Research in the area of Audio Classification and retrieval, in comparison with closely related areas, such as speech recognition and speaker identification is relatively new Audio Classification is an important issue in current audio processing and content analysis researches.. Generally speaking, audio classification is a pattern recognition problem. Pattern recognition is the scienti...
متن کاملA New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications
Pre-processing of Speech Signal serves various purposes in any speech processing application. It includes Noise Removal, Endpoint Detection, Pre-emphasis, Framing, Windowing, Echo Canceling etc. Out of these, silence/unvoiced portion removal along with endpoint detection is the fundamental step for applications like Speech and Speaker Recognition. The proposed method uses Probability Density Fu...
متن کاملSpeaker Adaptation in Continuous Speech Recognition Using MLLR-Based MAP Estimation
A variety of methods are used for speaker adaptation in speech recognition. In some techniques, such as MAP estimation, only the models with available training data are updated. Hence, large amounts of training data are required in order to have significant recognition improvements. In some others, such as MLLR, where several general transformations are applied to model clusters, the results ar...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1987