PITCH DETERMINATION AND SPEECH SEGMENTATION USING THE DISCRETE WAVELET TRANSFORM - Circuits and Systems, 1996., ISCAS '96, 'Connecting the World'., 1996 IEEE International Symposium

نویسنده

  • Christopher Wendt
چکیده

Pitch determination and speech segmentation are two important parts of speech recognition and speech processing in general. This paper proposes a time-based event detection method for finding the pitch period of a speech signal. Based on the discrete wavelet transform, it detects voiced speech, which is local in frequency, and determines the pitch period. This method is computationally inexpensive and through simulations and real speech experiments we show that it is both accurate and robust to noise.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Pitch Determination and Speech Segmentation Using the Discrete Wavelet Transform

Pitch determination and speech segmentation are two important parts of speech recognition and speech processing in general. This paper proposes a time-based event detection method for finding the pitch period of a speech signal. Based on the discrete wavelet transform, it detects voiced speech, which is local in frequency, and determines the pitch period. This method is computationally inexpens...

متن کامل

An automatic pitch-marking method using wavelet transform

This paper describes a new automatic pitch-marking method using wavelet transform. This method detects discontinuity in the speech waveform which occurs at the glottal closure instant (GCI). A time domain prosodic modification technique requires an appropriate determination of the synthesis pitch-marks. We evaluated the performance of the newly developed pitchmarking method by using our interna...

متن کامل

An Improvement in Speech Signals Corrupted by Impulsive Noise using Wavelets Wiener Filter and ICA Technique

The aim of this paper is to investigate the effect of noises on performance of speech signal de-noising using the method based on wavelets, wiener filtering and ICA. Determination of voiced and unvoiced speech, low and high pitch, and methods for selecting appropriate wavelets for speech compression are discussed. Discrete wavelet transform (DWT) has been applied for suppression of additive noi...

متن کامل

The prosodic analysis of Korean dialogue speech - through a comparative study with read speech

This paper describes the prosodic features of Korean dialogue speech. With 25 sentences for scheduling, one speaker uttered in two manners, viz. 'read' and 'dialogue'. The main discriminating features would be some aspects in speech rate and boundary signal. We discriminated each prosodic phrase in a sentence to investigate pre-boundary, boundary, and post-boundary features. The durational aspe...

متن کامل

Complex linear-quadratic systems for detection and array processing

D. R. Brillinger and M. Rosenhlatt, “Computation and interpretation of kth-order spectra,” in Spectral Analysis of Time Series, B. Harris, Ed. New York: Wiley, 1967, pp. 189-232. J. A. R. Fonollosa and J. Vidal, “System identification using a linear combination of cumulant slices,’’ IEEE Trans. Signal P rocexsing, vol. 41, no. 7, pp. 2405-2412, July 1993. F. R. Gantmacker, Applications oj’the T...

متن کامل

ذخیره 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 1996