Epoch extraction from emotional speech using single frequency filtering approach

Kadiri, Sudarsana Reddy; Yegnanarayana, B.

doi:10.1016/j.specom.2016.11.005

Cited by 55 publications

(47 citation statements)

References 39 publications

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“…The high frequency resolution of the SFF spectrum is due to narrow bandwidth of the filter, and this helps to obtain high SNR regions in time and frequency [1]. In recent studies [2,3], the 2-D SFF spectrogram is shown to be effective in capturing the impulse-like excitation property embedded in the speech signal. For this purpose, a parameter called the spectral gain [2] also termed as time marginal [3] is used.…”

Section: Time-frequency Spectral Error Parameter Using Single Frequenmentioning

confidence: 99%

“…In recent studies [2,3], the 2-D SFF spectrogram is shown to be effective in capturing the impulse-like excitation property embedded in the speech signal. For this purpose, a parameter called the spectral gain [2] also termed as time marginal [3] is used. At each sampling instant, the spectral gain is given by…”

Section: Time-frequency Spectral Error Parameter Using Single Frequenmentioning

confidence: 99%

“…It helps in exploring the high signal-to-noise ratio (SNR) regions in the speech signal [1]. The 2-D time-frequency spectrogram computed from the SFF method has also been used for epoch extraction from the speech signals [2,3].…”

Section: Introductionmentioning

confidence: 99%

“…During the production of voiced speech, the significant excitation occurs due to rapid closure of the vocal folds, which results in an impulse-like excitation [4]. The SFF based studies in [2,3] exploit the nature of these impulse-like excitations.…”

Section: Introductionmentioning

confidence: 99%

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Time-frequency spectral error for analysis of high arousal speech

Gangamohan¹,

Gangashetty²,

Yegnanarayana³

2018

Workshop on Speech, Music and Mind (SMM 2018)

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High arousal speech is produced by speakers when they raise their loudness levels. There are deviations from neutral speech, especially in the excitation component of the speech production mechanism in the high arousal mode. In this study, a parameter, called the time-frequency spectral error (TF e) is derived using the single frequency filtering (SFF) spectrogram. It is used to characterize the high arousal regions in speech signals. The proposed parameter captures the fine temporal and spectral variations due to changes in the excitation source.

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Section: Time-frequency Spectral Error Parameter Using Single Frequenmentioning

confidence: 99%

Section: Time-frequency Spectral Error Parameter Using Single Frequenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time-frequency spectral error for analysis of high arousal speech

Gangamohan¹,

Gangashetty²,

Yegnanarayana³

2018

Workshop on Speech, Music and Mind (SMM 2018)

Self Cite

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show abstract

“…From the studies in [18], it was observed that most of the epoch detection methods were shown to provide good accuracy on the speech data collected in the lab environments. Also, some attempts were made to see the effectiveness of these methods for additive noise degraded conditions [19][20][21][22][23]. However, there are not many attempts in GCI detection for the degraded conditions like telephone quality speech.…”

Section: Introductionmentioning

confidence: 99%

A Quantitative Comparison of Epoch Extraction Algorithms for Telephone Speech

Kadiri

2019

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Telephone speech is one of the degradations involved in building speech systems in practical environments. The potential use of the speech systems depends on the speech analysis algorithms that can handle different acoustic variations and degradations often found in the human speech communication. Detection of epochs/glottal closure instants (GCIs) is typically required in such analysis stages. In this paper, the effect of telephone channel speech on the accuracy of detection of epochs using state-of-art epoch extraction methods is investigated. Epoch is the instant of significant excitation to the vocal tract system in voiced speech. Most of the existing epoch extraction algorithms are shown to perform excellently well on the speech data collected under lab environment. The efficiency of these algorithms for the analysis of telephone quality speech is quantitatively studied and the strengths and weaknesses of the methods are discussed here. The methods are evaluated on six large databases containing speech and simultaneous EGG recordings as the ground truth. The state-of-art epoch extraction algorithms considered in this study for comparison are: ZFF, YAGA, DYPSA, SEDREAMS, SE-VQ and MMF. The performance of the algorithms is evaluated in terms of both reliability and accuracy measures.

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Significance of Epoch Identification Accuracy in Prosody Modification for Effective Emotion Conversion

Priya

Govind

2019

Communications in Computer and Information Science

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Epoch extraction from emotional speech using single frequency filtering approach

Cited by 55 publications

References 39 publications

Time-frequency spectral error for analysis of high arousal speech

Time-frequency spectral error for analysis of high arousal speech

A Quantitative Comparison of Epoch Extraction Algorithms for Telephone Speech

Significance of Epoch Identification Accuracy in Prosody Modification for Effective Emotion Conversion

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