Colored L-` Filters with Applications to Speech Pitch Detection
نویسنده
چکیده
This paper develops colored L-` filters and evaluates their performance in a fundamental speech processing problem: estimation of the glottal function for speech pitch detection. Colored L-` filters are an extension of the temporal/rank order based L-` filters in which the rank indexes are quantized (colored) and a bias is added to each weight. Quantizing the rank indexes reduces the number of filter parameters and allows the observation window size to grow beyond that previously practical. It is shown that the window size/rank quantization tradeoff has advantages in many applications.
منابع مشابه
On a Pitch Detection Method Using Noise Reduction
It can be used to easily change or to maintain the naturalness and intelligibility of quality in speech synthesis and to eliminate the personality for speaker-independence in speech recognition. In this paper, we proposed a new pitch detection algorithm. And Kalman filters are implemented for filtering speech contaminated by additive white noise or colored noise and an iterative signal and para...
متن کاملNoise Whitening - Based Pitch Detection for Speech Highly Corrupted by Colored Noise
The importance of a reliable and accurate pitch detection algorithm is well recognized in the speech processing area because such an algorithm can provide the more accurate spectral and prosody information needed in all speech research fields, such as speech synthesis, voice color conversion, speech coding, and speech recognition [1], [2]. To estimate pitch frequency, a simple average magnitude...
متن کاملA High Resolution Pitch Detection Algorithm Based on AMDF and ACF
This paper proposes a noise robust high resolution pitch detection algorithm based on AMDF and ACF. The falling trend of AMDF is eliminated by an alignment technique, and AMDF and ACF are combined to take the advantage of their complementary nature. These two functions are combined by multiplication and addition over several band pass filters to enhance important candidates and suppress less im...
متن کاملSpectral Estimation and Speech Analysis Techniques Using Morphological Filters
The properties and applications of morphological filters for speech analysis are investigated. We introduce and investigate a novel nonlinear spectral envelope estimation method based on morphological operations, which is found to be very robust against noise. This method is also compared with the spectral envelope estimation vocoder (SEEVOC) method. A simple method for the optimum selection of...
متن کاملMorphological pre-processing technique and its applications on speech signal
The properties and applications of morphological filters for speech analysis are investigated. We introduce and investigate a novel nonlinear spectral envelope estimation method based on morphological operations, which is found to be very robust against noise. This method is also compared with the spectral envelope estimation vocoder (SEEVOC) method. A simple method for the optimum selection of...
متن کامل