Dynamic prosody modification using zero frequency filtered signal

Govind, D.; Prasanna, S. R. Mahadeva

doi:10.1007/s10772-012-9155-3

Cited by 16 publications

(16 citation statements)

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“…To reconstruct the prosody modified waveform, all speech samples in each pitch interval are copied to corresponding nearest modified instant location in an overlap-add manner (in case of pitch modification). 3 The resampled ZFFS is also used for preserving the speech samples in the non-voiced regions of the prosody modified speech by voice/non-voiced detection for improving naturalness of the prosody modification [10]. The perceptual quality prosody modified speech is confirmed from the subjective evaluation for both static and dynamic cases.…”

Section: Introductionmentioning

confidence: 99%

“…The pitch and duration modification of the original speech by static scaling factors is referred to as prosody modification or static prosody modification [24,26,28,30]. In dynamic prosody modification, instead of static prosody modification factors, prosody of the original speech is modified in accordance with the time-varying modification factors [10]. In the existing dynamic prosody modification methods, scaling factors are defined for each pitch period of the original speech [10,11,23].…”

Section: Introductionmentioning

confidence: 99%

“…In dynamic prosody modification, instead of static prosody modification factors, prosody of the original speech is modified in accordance with the time-varying modification factors [10]. In the existing dynamic prosody modification methods, scaling factors are defined for each pitch period of the original speech [10,11,23]. Prosody modification is applied to applications such as improving the perceptual quality of text-to-speech synthesis systems, neutral to emotion conversion and voice conversion [30].…”

Section: Introductionmentioning

confidence: 99%

“…Time-varying modification of prosodic parameters of the original speech is termed as dynamic prosody modification. Due to its importance, there are a number of works reported in the literature for achieving dynamic prosody modification [10][11][12]23,28]. The works reported by Gu et al propose an improvement over PSOLA for achieving time-varying prosody modification at the syllable level [11,12].…”

Section: Introductionmentioning

confidence: 99%

“…Pollard et al [23] then proposed a refinement to the shape-invariant prosody modification, by aligning the excitation phases at the modified pitch marks and allowing for frequency variations of the sinusoidal components. The work by Govind and Prasanna [10] proposed a general framework for dynamic prosody modification using zero frequency filtered signal (ZFFS) which is a by-product obtained during the estimation of instants using zero frequency filtering (ZFF) of speech. The instants of significant excitation and ZFFS are estimated from the original speech using ZFF method.…”

Section: Introductionmentioning

confidence: 99%

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Improving the Flexibility of Dynamic Prosody Modification Using Instants of Significant Excitation

Govind

Joy

2015

Circuits Syst Signal Process

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Modification of suprasegmental features such as pitch and duration of original speech by fixed scaling factors is referred to as static prosody modification. In dynamic prosody modification, the prosodic scaling factors (time-varying modification factors) are defined for all the pitch cycles present in the original speech. The present work is focused on improving the naturalness of the prosody modified speech by reducing the generation of piecewise constant segments in the modified pitch contour. The prosody modification is performed by anchoring around the accurate instants of significant excitation estimated from the original speech. The division of longer pitch intervals into many equal intervals over long speech segments introduces steplike discontinuities in the form of piecewise constant segments in the modified pitch contours. The effectiveness of proposed dynamic modification method is initially confirmed from the smooth modified pitch contour plot obtained for finer static prosody scaling factors, waveforms, spectrogram plots and comparison subjective evaluations. Also, the average F 0 jitter computed from the pitch segments of each glottal activity region in the modified speech is proposed as an objective measure for the prosody modification. The naturalness of the prosody modified speech using the proposed method is objectively and subjectively compared with that of the existing zero frequency filtered signal-based dynamic prosody modification. Also, the proposed algorithm effectively preserves the dynamics of the prosodic patterns in singing voices where in the F 0 parameters rapidly and continuously fluctuate within a higher F 0 range.

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Section: Introductionmentioning

confidence: 99%