Phonetic Class-based Spea
نویسنده
چکیده
Phonetic Class-based Speaker Verification (PCBV) is a natural refinement of the traditional single Gaussian Mixture Model (Single GMM) scheme. The aim is to accurately model the voice characteristics of a user on a per-phonetic class basis. The paper describes briefly the implementation of a representation of the voice characteristics in a hierarchy of phonetic classes. We present a framework to easily study the effect of the modeling on the PCBV. A thorough study of the effect of the modeling complexity, the amount of enrollment data and noise conditions is presented. It is shown that Phoneme-based Verification (PBV), a special case of PCBV, is the optimal modeling scheme and consistently outperforms the state-of-the-art Single GMM modeling even in noisy environments. PBV achieves to relative error rate reduction while cutting the speaker model size by and CPU by .
منابع مشابه
Enhanced speech coding based on phonetic class segmentation
Given a baseline speech coder and speech with an available phonetic class segmentation, a number of potential enhancements to that coder become possible. While the quality of speech segmentation by phoneme and phonetic class is constantly improving, we use TIMIT to generate phonetic class segmentation as a basis for initial testing of these techniques. Using coders drawn from the MELP family, w...
متن کاملA multilingual phonetic representation and analysis system for different speech databases
A multilingual phonetic representation and analysis system for different speech databases is presented. The need for such a system is first justified and then one is proposed based on the Worldbet phonetic alphabet. A phonetic class hierarchy is developed and a description of the hierarchical structural representation follows. Database access is based on the latter and is accomplished by defini...
متن کاملHigh-level feature-based speaker verification via articulatory phonetic-class pronunciation modeling
Although articulatory feature-based conditional pronunciation models (AFCPMs) can capture the pronunciation characteristics of speakers, they requires one discrete density function for each phoneme, which may lead to inaccurate models when the amount of training data is limited. This paper proposes a phonetic-class based AFCPM in which the density functions in speaker models are conditioned on ...
متن کاملDevelop a Model of Ethical Components of Participation in the Phonetic Behavior of Employees
Background: Employee participation in the organization and hearing their voices is one of the ways to increase and strengthen the spirit of criticism and teamwork with the aim of increasing productivity in organizations. The purpose of this study is to develop a model of ethical components of participation in the phonetic behavior of employees. Method: The research method is heuristic. The sta...
متن کاملBio-inspired Broad-class Phonetic Labelling
Recent studies have shown that the correct labeling of phonetic classes may help current Automatic Speech Recognition (ASR) when combined with classical parsing automata based on Hidden Markov Models (HMM). Through the present paper a method for Phonetic Class Labeling (PCL) based on bio-inspired speech processing is described. The methodology is based in the automatic detection of formants and...
متن کامل