An automatic pitch-marking method using wavelet transform
نویسندگان
چکیده
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 internal speech databases with an electroglottograph signal. We achieved 96 percent detection accuracy on the performance evaluation. We confirmed that the proposed pitch-marking method is suitable for waveform concatenation-based synthesis through a listening test using pitch modified speech.
منابع مشابه
Wavelet Algorithm for the Estimation of Pitch Period of Speech Signal
An algorithm based on dyadic wavelet transform (DyWT) has been developed for detecting pitch period. Pitch period is regarded as an important feature in designing and developing automatic speaker recognitionhdentification systems. In this paper, we have developed two methods for detecting pitch period of synthetic signals. In the first method, we estimated the pitch period using the original si...
متن کاملAn Automatic Pitch Detection Method Based on Multi-feature for Mandarin Speech
There are many traditional pitch detection methods, but most of them can’t perform perfectly for different speakers, applications and environmental conditions. For this reason, a pitch detection method based on multi-feature is proposed. Firstly, the speech signals are pre-filtered. Secondly, the speech signal pre-filtered is segmented into syllables. Finally, the pitch period is obtained by wa...
متن کاملAutomatic classification of normal and abnormal cardiac sounds by combining features based on wavelet transform and capstral coefficients extracted from PCG signals (Research Article)
Cardiac sounds are produced by the mechanical activities of the heart and provide useful information about the function of the heart valves. Due to the transient and unstable nature of the heart's sound and the limitation of the human hearing system, it is difficult to categorize heart sound signals based on what is heard from a stethoscope. Therefore, providing an automated algorithm for prima...
متن کاملBreast abnormalities segmentation using the wavelet transform coefficients aggregation
Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram. Methods: Mammography is widely used for the early...
متن کاملPITCH DETERMINATION AND SPEECH SEGMENTATION USING THE DISCRETE WAVELET TRANSFORM - Circuits and Systems, 1996., ISCAS '96, 'Connecting the World'., 1996 IEEE International Symposium
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 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 2000