Determining polarity of speech signals based on gradient of spurious glottal waveforms

نویسندگان

  • Wen Ding
  • Nick Campbell
چکیده

Speech po1arit.y is crucial in many speec:t~ processing firlds. \Ve present, a nowl method to detrrrnine polarity of speech signals from gradient of spurious glot.t,al wavcsforms. VVe u&e t,he iterative adaptive LPC inverse filtering to cancel c:ff’ect of vocal t,ract transfer function while maintaining the most properties of source excitation. l’hcr~ we take the first-derivative (gradient. component) of spurious glottal waveforms t,o capture thr sharp gradient. near the glottal closure inst,ant. Hy using the gradient components of the spurious glottal waveforms. we det.ect, speech polarit!‘, i.e.. the polaiity of glottal waveforms, by finding whether the glot.tal closure instants are located above or below the zero-line. Furt hc~rmore. a frame-based decision technique is applied to get robust rcssult,s. Experimental resu1t.s with a wide varict,y of spc,t:c:h utterances reveal a high performauce and the c.omputation complexity is much mart: Ic+ than a previously proposed method.

برای دانلود 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

Glottal closure and opening instant detection from speech signals

This paper proposes a new procedure to detect Glottal Closure and Opening Instants (GCIs and GOIs) directly from speech waveforms. The procedure is divided into two successive steps. First a mean-based signal is computed, and intervals where speech events are expected to occur are extracted from it. Secondly, at each interval a precise position of the speech event is assigned by locating a disc...

متن کامل

Particle Swarm Optimization Based Feature Enhancement and Feature Selection for Improved Emotion Recognition in Speech and Glottal Signals

In the recent years, many research works have been published using speech related features for speech emotion recognition, however, recent studies show that there is a strong correlation between emotional states and glottal features. In this work, Mel-frequency cepstralcoefficients (MFCCs), linear predictive cepstral coefficients (LPCCs), perceptual linear predictive (PLP) features, gammatone f...

متن کامل

Generative Adversarial Network-Based Glottal Waveform Model for Statistical Parametric Speech Synthesis

Recent studies have shown that text-to-speech synthesis quality can be improved by using glottal vocoding. This refers to vocoders that parameterize speech into two parts, the glottal excitation and vocal tract, that occur in the human speech production apparatus. Current glottal vocoders generate the glottal excitation waveform by using deep neural networks (DNNs). However, the squared error-b...

متن کامل

Classification-Based Detection of Glottal Closure Instants from Speech Signals

In this paper a classification-based method for the automatic detection of glottal closure instants (GCIs) from the speech signal is proposed. Peaks in the speech waveforms are taken as candidates for GCI placements. A classification framework is used to train a classification model and to classify whether or not a peak corresponds to the GCI. We show that the detection accuracy in terms of F1 ...

متن کامل

Use of harmonic phase information for polarity detection in speech signals

Phase information resultant from the harmonic analysis of the speech can be very successfully used to determine the polarity of a voiced speech segment. In this paper we present two algorithms which calculate the signal polarity from this information. One is based on the effect of the glottal signal on the phase of the first harmonics and the other on the relative phase shifts between the harmo...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1998