A model for efficient formant estimation
نویسندگان
چکیده
This paper presents a new method for estimating for-mant frequencies. The formant model is based on a digital resonator. Each resonator represents a segment of the short{time power spectrum. The complete spectrum is modeled by a set of digital resonators connected in parallel. An algorithm based on dynamic programming produces both the model parameters and segment boundaries that optimally match the spectrum. The main results of this paper are: 1) Modeling formants by digital resonators allows a reliable estimation of for-mant frequencies. 2) Digital resonators can be used ef-ciently in connection with dynamic programming. 3) A recognition test with formant frequencies results in a string error rate of 4.8% on the adult corpus of the TI digit string database.
منابع مشابه
Efficient estimation of perceptual features for speech recognition
A number of studies have shown that a pair of perceptual eeective formants can be deened to capture most of the phonetic information present in vowels. Various methods of computing the eeective formant values were proposed. However, many of them depend on the accuracy of conventional formant estimation. In this work, we study methods of automatically estimating perceptual eeective formants with...
متن کاملA Formant Tracking Lp Model for Speech Processing in Car/train Noise
Formant estimation becomes complicated in the presence of correlated background noise such as car and train noise as the spectrum of noise from revolving mechanical sources have their own spectral peaks that affect the number and positions of the observed peaks in noisy speech spectrum. This paper investigates the modeling and estimation of spectral parameters at formants of noisy speech in the...
متن کاملFormant tracking linear prediction model using HMMs and Kalman filters for noisy speech processing
This paper presents a formant tracking linear prediction (LP) model for speech processing in noise. The main focus of this work is on the utilization of the correlation of the energy contours of speech, along the formant tracks, for improved formant and LP model estimation in noise. The approach proposed in this paper provides a systematic framework for modelling and utilization of the inter-fr...
متن کاملFormant-tracking Linear Prediction Models for Speech Processing in Noisy Enviroments
This paper presents a formant-tracking method for estimation of the time-varying trajectories of a linear prediction (LP) model of speech in noise. The main focus of this work is on the modelling of the non-stationary temporal trajectories of the formants of speech for improved LP model estimation in noise. The proposed approach provides a systematic framework for modelling the inter-frame corr...
متن کاملFormant-tracking linear prediction models for speech processing in noisy environments
This paper presents a formant-tracking method for estimation of the time-varying trajectories of a linear prediction (LP) model of speech in noise. The main focus of this work is on the modelling of the non-stationary temporal trajectories of the formants of speech for improved LP model estimation in noise. The proposed approach provides a systematic framework for modelling the inter-frame corr...
متن کامل