منابع مشابه
Robust, n-best formant tracking
We describe a robust, N{best formant tracker. The 2 stage algorithm initially nds single formants or parts thereof. In the second stage a robust dynamic programming search with a wild card mechanism is employed to nd the N best consistent interpretation of the initial formant information. The selection of the correct formant tracks is delayed until after the phonetic search, thus overcoming the...
متن کاملForensic speaker recognition using traditional features comparing automatic and human-in-the-loop formant tracking
In this paper we compare forensic speaker recognition with traditional features using two different formant tracking strategies: one performed automatically and one semi-automatic performed by human experts. The main contribution of the work is the use of an automatic method for formant tracking, which allows a much faster recognition process and the use of a much higher amount of data for mode...
متن کاملFormant Estimation and Tracking Using Deep Learning
Formant frequency estimation and tracking are among the most fundamental problems in speech processing. In the former task the input is a stationary speech segment such as the middle part of a vowel and the goal is to estimate the formant frequencies, whereas in the latter task the input is a series of speech frames and the goal is to track the trajectory of the formant frequencies throughout t...
متن کاملSpectrogram-based formant tracking via particle filters
This paper presents a particle-filtering method for estimating formant frequencies of speech signals from spectrograms. First, frequency bands corresponding to the analyzed formants are extracted via a two-step dynamic programming based algorithm. A particle-filtering method is then used to accurately locate formants in every formant areas based on the posterior pdf described by a set of suppor...
متن کاملFormant tracking using segmental phonemic information
A new formant tracking algorithm using phoneme dependent nominal formant values is tested. The algorithm consists of three phases: (1) analysis, (2) segmentation, and (3) formant tracking. In the analysis phase, formant candidates are obtained by solving for the roots of the linear prediction polynomial. In the segmentation phase, the input text is converted into a sequence of phonemic symbols....
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ژورنال
عنوان ژورنال: The Journal of the Acoustical Society of America
سال: 1974
ISSN: 0001-4966
DOI: 10.1121/1.1914097