The computation of line spectral frequencies using Chebyshev polynomials

Kabal, P.; Ramachandran, Ramkumar Ketti

doi:10.1109/tassp.1986.1164983

Cited by 170 publications

(85 citation statements)

References 9 publications

(13 reference statements)

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“…Moreover, LPC coefficients are hard to manipulate to perform timbre transformations. Later related approaches, like Line Spectral Frequencies (LSF) [15] or cepstrum-based techniques [14], partially improve some of these drawbacks. However, the parameters of these models are hard to manipulate in order to obtain natural timbre variations, since they are not directly related to physical aspects of the human vocal production.…”

Section: Proposed Parametric Model Of Spectral Envelopementioning

confidence: 99%

Parametric model of spectral envelope to synthesize realistic intensity variations in singing voice

Molina

Barbancho

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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In this paper, we propose a method to synthesize the natural variations of spectral envelope as intensity varies in singing voice. To this end, we propose a parametric model of spectral envelope based on novel 4-pole resonators as formant filters. This model has been used to analyse 60 vowels sung at different intensities in order to define a set of functions describing the global variations of parameters along intensity. These functions have been used to modify the intensity of 16 recorded vowels and 8 synthetic vowels generated with Vocaloid. The realism of the transformations performed with our approach has been evaluated by four amateur musicians in comparison to Melodyne for real sounds and to Vocaloid for synthetic sounds. The proposed approach has been proved to achieve more realistic sounds than Melodyne and Vocaloid, especially for loud-to-weak transformations.

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Section: Proposed Parametric Model Of Spectral Envelopementioning

confidence: 99%

Parametric model of spectral envelope to synthesize realistic intensity variations in singing voice

Molina

Barbancho

et al. 2014

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Instead, nonlinear functions of the reflection coefficients are often used as transmission parameters. These parameters are preferable because they have a relatively low spectral sensitivity [22]. It has been found that the line spectral frequency (LSF) representation of the predictor is particularly well suited for quantization and interpolation.…”

Section: Line Spectral Frequency (Lsf)mentioning

confidence: 99%

A Novel Approach to Stuttered Speech Correction

Alim

Rashid

Sediono

et al. 2016

Jurnal Ilmu Komputer dan Informasi

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Stuttered speech is a dysfluency rich speech, more prevalent in males than females. It has been associated with insufficient air pressure or poor articulation, even though the root causes are more complex. The primary features include prolonged speech and repetitive speech, while some of its secondary features include, anxiety, fear, and shame. This study used LPC analysis and synthesis algorithms to reconstruct the stuttered speech. The results were evaluated using cepstral distance, Itakura-Saito distance, mean square error, and likelihood ratio. These measures implied perfect speech reconstruction quality. ASR was used for further testing, and the results showed that all the reconstructed speech samples were perfectly recognized while only three samples of the original speech were perfectly recognized. Keywords: stuttered speech, speech reconstruction, LPC analysis, LPC synthesis, objective quality measure AbstrakShuttered speech adalah speech yang kaya dysfluency, lebih banyak terjadi pada laki-laki daripada perempuan. Ini terkait dengan tekanan udara yang tidak cukup atau artikulasi yang buruk, meskipun akar penyebabnya lebih kompleks. Fitur utama termasuk speech yang berkepanjangan dan berulangulang, sementara beberapa fitur sekunder meliputi, kecemasan, ketakutan, dan rasa malu. Penelitian ini menggunakan LPC analysis dan synthesis algoritma untuk merekonstruksi stuttered speech. Hasil dievaluasi menggunakan jarak cepstral, jarak Itakura-Saito, mean square error, dan rasio likelihood. Langkah-langkah ini terkandung kualitas speech reconstruction yang sempurna. ASR digunakan untuk pengujian lebih lanjut, dan hasilnya menunjukkan bahwa semua sampel speech yang terekonstruksi dikenali dengan sempurna sementara hanya tiga sampel dari speech asli dikenali dengan sempurna.

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“…  is spectrally flattened, so that   should contain most of the spectral envelope of the given input speech frame. For a transmission purpose,  is expressed by the two reciprocal polynomials [4] :…”

Section: Equation 1 Is Equivalently Expressed In the Frequency Domain Asmentioning

confidence: 99%

Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

Jang¹,

Park²,

Kim³

2012

The Journal of the Acoustical Society of Korea

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This paper presents a novel method for estimating reliable noise spectral magnitude for acoustic background noise suppression where only a single microphone recording is available. The proposed method finds noise estimates from spectral magnitudes measured at line spectral frequencies (LSFs), under the observation that adjacent LSFs are near the peak frequencies and isolated LSFs are close to the relatively flattened valleys of LPC spectra. The parameters used in the proposed method are LPC coefficients, their corresponding LSFs, and the gain of LPC residual signals, so it suits well to LPC-based speech coders.

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The computation of line spectral frequencies using Chebyshev polynomials

Cited by 170 publications

References 9 publications

Parametric model of spectral envelope to synthesize realistic intensity variations in singing voice

Parametric model of spectral envelope to synthesize realistic intensity variations in singing voice

A Novel Approach to Stuttered Speech Correction

Noise Spectrum Estimation Using Line Spectral Frequencies for Robust Speech Recognition

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