منابع مشابه
Formant estimation for speech recognition
This paper presents a new method for estimating formant 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 the segment boundaries that optimally m...
متن کاملOptimization of Formant Feature Based Speech Recognition
The paper deals with the use of formant features in dynamic time warping based speech recognition. These features can be simply visualized and give a new insight into understanding the reasons of speech recognition errors. The formant feature extraction method, based on the singular prediction polynomials, has been applied in recognition of isolated words. However, the speech recognition perfor...
متن کاملUsing formant frequencies in speech recognition
Formant frequencies have rarely been used as acoustic features for speech recognition, in spite of their phonetic significance. For some speech sounds one or more of the formants may be so badly defined that it is not useful to attempt a frequency measurement. Also, it is often difficult to decide which formant labels to attach to particular spectral peaks. This paper describes a new method of ...
متن کاملEvaluation of formant-like features for automatic speech recognition
This study investigates possibilities to find a low-dimensional, formant-related physical representation of speech signals, which is suitable for automatic speech recognition. This aim is motivated by the fact that formants are known to be discriminant features for speech recognition. Combinations of automatically extracted formant-like features and state-of-the-art, noise-robust features have ...
متن کاملFormant weighted cepstral feature for LSP-based speech recognition
In this paper, we propose a formant weighted cepstral feature for LSP-based speech recognition system. The proposed weighting scheme is based on the well-known property of LSPs that the speech spectrum has a peak when adjacent LSFs come close. By applying this scheme to pseudo-cepstrum (PCEP) conversion process [1], we can obtain formant weighted or peak enhanced cepstral feature. Results of sp...
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ژورنال
عنوان ژورنال: IEEE Transactions on Speech and Audio Processing
سال: 1998
ISSN: 1063-6676
DOI: 10.1109/89.650308