Esophageal speech enhancement using source synthesis and formant patterns modification

Ali, Rym Haj; Jebara, Sofia Ben

doi:10.1007/978-0-387-72500-0_24

Cited by 4 publications

(6 citation statements)

References 1 publication

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“…The system performance is visually demonstrated with spectrograms in Figure 6. In this figure, and also later in Figures 7 and 8, the proposed system is compared with a reference system based on using the LF source and formant modification with a bandwidth extension system [7]. It can be seen from Figure 6 that the spectrogram computed from the enhanced vowels by the proposed system shows a clearer formant and harmonics structure in comparison to ES and the reference system.…”

Section: System Evaluationmentioning

confidence: 87%

“…The data , processed with the reference system (c) [7] was collected from five early stage male ES talkers by asking them to utter each vowel four times. Due to lack of female patients in the rehabilitation center, only male speakers were involved in the study.…”

Section: System Evaluationmentioning

confidence: 99%

“…The system was evaluated with ES vowels of Spanish (/a/, /e/, /i/, /o/, /u/) recorded in speech rehabilitation center. The data Figure 6: Spectrograms of the vowel /a/ for different processing types: unprocessed (a), processed with the proposed system (b), processed with the reference system (c) [7] was collected from five early stage male ES talkers by asking them to utter each vowel four times. Due to lack of female patients in the rehabilitation center, only male speakers were involved in the study.…”

Section: System Evaluationmentioning

confidence: 99%

“…ES enhancement based on formant synthesis has also shown significant improvement in intelligibility [5,6]. In [7] the source and filter components were modified by replacing the source with the LF model and increasing the bandwidth of filter formants for better quality speech. Statistical conversion from ES to normal speech has also improved intelligibility, but requires more ES data [8].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Vowel Enhancement in Early Stage Spanish Esophageal Speech Using Natural Glottal Flow Pulse and Vocal Tract Frequency Warping

Ishaq¹,

Gowda²,

Alku³

et al. 2015

Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies

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This paper presents an enhancement system for early stage Spanish Esophageal Speech (ES) vowels. The system decomposes the input ES into neoglottal waveform and vocal tract filter components using Iterative Adaptive Inverse Filtering (IAIF). The neoglottal waveform is further decomposed into fundamental frequency F0, Harmonic to Noise Ratio (HNR), and neoglottal source spectrum. The enhanced neoglottal source signal is constructed using a natural glottal flow pulse computed from real speech. The F0 and HNR are replaced with natural speech F0 and HNR. The vocal tract formant frequencies (spectral peaks) and bandwidths are smoothed, the formants are shifted downward using second order frequency warping polynomial and the bandwidth is increased to make it close to the natural speech. The system is evaluated using subjective listening tests on the Spanish ES vowels /a/, /e/, /i/, /o/, /u/. The Mean Opinion Score (MOS) shows significant improvement in the overall quality (naturalness and intelligibility) of the vowels.

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Section: System Evaluationmentioning

confidence: 87%

Section: System Evaluationmentioning

confidence: 99%

Section: System Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Vowel Enhancement in Early Stage Spanish Esophageal Speech Using Natural Glottal Flow Pulse and Vocal Tract Frequency Warping

Ishaq¹,

Gowda²,

Alku³

et al. 2015

Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies

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show abstract

“…The Kalman filter is also utilized to enhance the quality of OES such as, fullband Kalman filtering [13][14][15] and subband Kalman filtering [12]. Kalman filtering has shown significant enhancement over other methods such as source-filter decomposition [16] for enhancing source and filter [17][18][19][20], use of LF voicing source [21,22], and statistical methods [23].…”

Section: Introductionmentioning

confidence: 99%

Optimal subband Kalman filter for normal and oesophageal speech enhancement

Ishaq

Zapirain

2014

Bio-Medical Materials and Engineering

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This paper presents the single channel speech enhancement system using subband Kalman filtering by estimating optimal Autoregressive (AR) coefficients and variance for speech and noise, using Weighted Linear Prediction (WLP) and Noise Weighting Function (NWF). The system is applied for normal and Oesophageal speech signals. The method is evaluated by Perceptual Evaluation of Speech Quality (PESQ) score and Signal to Noise Ratio (SNR) improvement for normal speech and Harmonic to Noise Ratio (HNR) for Oesophageal Speech (OES). Compared with previous systems, the normal speech indicates 30% increase in PESQ score, 4 dB SNR improvement and OES shows 3 dB HNR improvement.

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Quantifying parameters of a source-filter model for oesophageal speech

O’Toole

Zapirain

2011

2011 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

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Signal processing methods can improve the quality and intelligibility of oesophageal speech. Current methods show only moderate improvement leaving potential for better results. Quantifying parameters of oesophageal speech relative to laryngeal (normal) speech would help in the design of future enhancement methods for oesophageal speech. We quantified parameters of a source-filter model on a database of sustained vowels in Spanish from 4 oesophageal and 4 normal speakers. A ten-parameter glottal waveform model was used as the source and an autoregressive model was used as the filter. Classification, using a log-spectral distance measure, showed that all oesophageal speech samples were classified as whisper voice types; a voice type with a signal to noise ratio of -20 dB. Filter parameters representing spectral amplitudes and bandwidths had a large degree of variation for oesophageal speech comparative to the degree of variation for normal speech (Brown-Forsythe test, F < 0.001). Source metrics, noise to harmonic ratio (NHR) and variation in fundamental frequency, were also significantly greater for oesophageal speech (t-test, P < 0.001). These results show a greater degree of nonstationarity, and a noisier glottal waveform, for oesophageal speech comparative to normal speech.

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Esophageal speech enhancement using source synthesis and formant patterns modification

Cited by 4 publications

References 1 publication

Vowel Enhancement in Early Stage Spanish Esophageal Speech Using Natural Glottal Flow Pulse and Vocal Tract Frequency Warping

Vowel Enhancement in Early Stage Spanish Esophageal Speech Using Natural Glottal Flow Pulse and Vocal Tract Frequency Warping

Optimal subband Kalman filter for normal and oesophageal speech enhancement

Quantifying parameters of a source-filter model for oesophageal speech

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