Language Independent Speaker Recognition based on pitch measurements

نویسنده

  • Shalini Shravan
چکیده

-The significant progress in speaker recognition is by the use of pitch parameters. The accuracy of speaker recognition to a known degree of confidence for forensic tasks is given by the pitch. The experiments performed discriminates an individual and gives the model of a speaker. The analysis is performed on the TIMIT database and the results are 87% effective and are verified by using PRAAT Tool. The ultimate aim of the present work is to develop the speaker model consisting of pitch and statistical measurement results to identify and verify the speaker. We evaluate these features for speaker identi£cation using TIMIT. Further the work is in progress to improve the speaker recognition accuracy by computing spectral moments for each spectrum. Keywords-Pitch, Pitch contour, Speaker recognition

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

Text-independent Speaker Identification Based on MAP Channel Compensation and Pitch-dependent Features

One major source of performance decline in speaker recognition system is channel mismatch between training and testing. This paper focuses on improving channel robustness of speaker recognition system in two aspects of channel compensation technique and channel robust features. The system is text-independent speaker identification system based on two-stage recognition. In the aspect of channel ...

متن کامل

Automatic Vowel Recognition in Fluent Speech (on the Material of the Russian Language)

A vowel recognition based on a pitch-synchronous signal processing is introduced in this paper. The investigation has been made within the development of a speaker independent system of automatic speech sounds identification. The length of a signal-processing window is equal to the pitch period. This makes the signal analysis more independent of a pitch value than in the case of using a fixed-w...

متن کامل

Histogram Classiiers Using Vocal Tract and Pitch Information for Text-independent Speaker Identiication

| This paper proposes a new text-independent speaker identiication method based on histogram classiiers using vocal tract and pitch information. The purpose of this research is to create a very simple and fast speaker identiication method. The method uses several feature parameters (cepstral coeecients, pitch) related to both vocal tract and pitch information extracted from spoken sentences. Th...

متن کامل

Statistical Variation Analysis of Formant and Pitch Frequencies in Anger and Happiness Emotional Sentences in Farsi Language

Setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. In this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. So the pitch frequency and the first three formant frequencies were used. The experimental results showed that there are lo...

متن کامل

Speaker Independent Spee Using Features Based on Glo

We discussed utilization of features based on the glottal sound source for speaker independent speech recognition. It has been thought that such features as pitch cannot contribute to speaker independent speech recognition because of the dominant speaker dependent factor. In this paper, we tried to utilize pitch, power, LPC residual power, voicing rate, and their regression coefficients as feat...

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 2013