Spectral stability based event localizing temporal decomposition

Nandasena, A.C.R.; Akagi, Masato

doi:10.1109/icassp.1998.675425

Cited by 11 publications

(15 citation statements)

References 2 publications

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“…The operational complexity involved in the evaluation of MINTRISM and STM for a frame, according to Eqs. (8) and (10) is displayed in Table I, where it can be verified that TRISM requires one addition, p multiplications and one division per frame more than STM for the location of event centers, where p is the LP order. But the greater stability of TRISM evaluations allows for a reduction in the number of refinement iterations in comparison.…”

Section: Spectral Measures For Event Locationmentioning

confidence: 99%

“…which consists of the scaled version of the absolute value of slope estimate (6). In a previous local TD method, event functions are assumed to be linear and minimum event function slope is taken to be the manifestation of spectral stability, whose location is declared event center [8]. This led to the minimization of the spectral transition measure (STM) [9]…”

Section: Spectral Measures For Event Locationmentioning

confidence: 99%

“…The triangular interpolation spectral measure (TRISM) is based on interpolation error minimization and local slope minimization under the condition of a triangular event function. It is compared to the spectral feature transition rate (SFTR) [8], which reduces to the spectral transition measure (STM) [9] when the location window length is fixed.…”

Section: Introductionmentioning

confidence: 99%

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Event Location by Triangular Interpolation for Temporal Decomposition of Speech

Ramírez¹

2009

Journal of Communication and Information Systems

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For low-bit-rate coding and synthesis the evolution of spectral parameters is a source of redundancy to be considered. A triangular interpolation spectral measure (TRISM) is proposed as the basis for an open-loop event location criterion for low-delay temporal decomposition (TD). TRISM comes as an improvement in linear interpolation error measurement over the spectral transition measure (STM). While STM is heuristic and presupposes asymmetric event functions, TRISM is a minimum square interpolation error based on symmetric functions. Minimun TRISM (MINTRISM) TD interpolates up to 13 frames between adjacent events at a mean event rate of 15 Hz and interpolation error level equivalent to that of standard low-bit-rate speech coders. The MINTRISM criterion is also a more stable solution to the location of events and determination of their number than previous global and local TD methods.

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Section: Spectral Measures For Event Locationmentioning

confidence: 99%

Section: Spectral Measures For Event Locationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Event Location by Triangular Interpolation for Temporal Decomposition of Speech

Ramírez¹

2009

Journal of Communication and Information Systems

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“…There is still a lack of simple models, which are easy to be implemented in speech applications, and directly performed with acoustic data. In this research, we used the spectral transition measure (STM) [5], the folded STM (FSTM), and the temporal decomposition (TD) [6,7] to model the coarticulation between intra-targets within nuclei intervals of phonemes, as well coarticulation between inter-targets of neighboring phonemes. The details of the proposed model are presented in section IV, and the experimental results are presented in the section VI.…”

Section: Introductionmentioning

confidence: 99%

“…Using the STM, the boundary points between the phonemes and the nuclei points, related to the locations of the idealized articulatory targets of phonemes, could be estimated [5]- [7]. The nuclei intervals, containing static spectral targets, and the transition intervals, containing spectral dynamics, could be also manually estimated [5].…”

Section: Introductionmentioning

confidence: 99%

On the Stability of Spectral Targets under Effects ofCoarticulation

Phung¹,

Luong²,

Akagi³

2012

IJCEE

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Coarticulation is a phonological phenomenon, always occurring in all sequences of sounds not separated by pauses. Analyses in coarticulation of speech reveal that articulation targets are incomplete in neutralized sound, and it is difficult to estimate incomplete articulatory targets of phonemes due to their sensitivity. In this paper, we firstly proposed a acoustical model of coarticulation of phonemes within syllables. After that, we investigated the stability of spectral targets affected by the vowel neutralization phenomenon. The experimental results show that the proposed coarticulation model decomposed speech into context-insensitive event targets, which are close with articulatory targets, and the context-sensitive event functions, which closely represent the movements between the adjacent targets. In addition, the PLP-LSF was shown as a stable spectral target against vowel neutralization phenomenon in our proposed coarticulation model.

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