- Indonesia
Suhadi Suhadi
Universitas Negeri Padang, Biologi, Department Member
... Increasing Production by Maximizing Underbalance During Perforation Badrul M. Jan, SPE, University of Malaya; Graeme Rae, Talisman (M) Sdn Bhd; M ... have been pumped into the BKC-18 well of Bunga Raya field, located in a joint... more
... Increasing Production by Maximizing Underbalance During Perforation Badrul M. Jan, SPE, University of Malaya; Graeme Rae, Talisman (M) Sdn Bhd; M ... have been pumped into the BKC-18 well of Bunga Raya field, located in a joint development area between Malaysia and ...
Research Interests:
Research Interests:
Research Interests:
Automatic speech recognition in mobile devices has to cope with varying acoustical background noises in potentially low SNR situations. Its performance in car noise environments is of our particular interest. We put focus on noise... more
Automatic speech recognition in mobile devices has to cope with varying acoustical background noises in potentially low SNR situations. Its performance in car noise environments is of our particular interest. We put focus on noise reduction techniques as ...
Research Interests:
Research Interests:
... with Optimized Memory Footprint Suhadi Suhadi, Sorel Stan, Tim Fingscheidt ∗ ... In contrast toIGA, the newly developed B-IGA method requires only 2×M×Neff γ ×Nξ = 58.5 kBytes where M = 19 for the sampling frequency fs = 8 kHz. 3.... more
... with Optimized Memory Footprint Suhadi Suhadi, Sorel Stan, Tim Fingscheidt ∗ ... In contrast toIGA, the newly developed B-IGA method requires only 2×M×Neff γ ×Nξ = 58.5 kBytes where M = 19 for the sampling frequency fs = 8 kHz. 3. R-PLS Parameterization ...
Research Interests:
Research Interests:
In this paper, we present a training-based approach to speech enhancement that exploits the spectral statistical characteristics of clean speech and noise in a specific environment. In contrast to many state-of-the-art approaches, we do... more
In this paper, we present a training-based approach to speech enhancement that exploits the spectral statistical characteristics of clean speech and noise in a specific environment. In contrast to many state-of-the-art approaches, we do not model the probability density function (pdf) of the clean speech and the noise spectra. Instead, subband-individual weighting rules for noisy speech spectral amplitudes are separately
Research Interests:
Quality assessment of speech enhancement systems has to deal with aspects such as distortion of the near-end talker's speech, and with the attenuation and distortion of the noise and the echo in different test cases. We propose first... more
Quality assessment of speech enhancement systems has to deal with aspects such as distortion of the near-end talker's speech, and with the attenuation and distortion of the noise and the echo in different test cases. We propose first steps into the direction of a new black box objective quality assessment of speech enhancement schemes, based on our previous work on decomposition of the (enhanced) speech signal into its components speech, (residual) noise, and (residual) echo. Having these signals available, to our knowledge, for the first time a black box objective quality assessment of an entire speech enhancement system is proposed allowing for simultaneous measurement of, e.g., noise attenuation, echo return loss enhancement (ERLE), and perceptual evaluation of speech quality (PESQ) of the speech component in a wide range of test scenarios including double-talk. The derived scheme proves to be very useful for testing hands-free devices in practice but also for objective evaluation of sophisticated algorithms in science.