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Dolby, Philips, Technische Universiteit Eindhoven - Cited by 613 - audio - music - speech - generative adversarial networks
Jan 27, 2020 · Audio Codec Enhancement with Generative Adversarial Networks. Arijit Biswas, Dai Jia. Audio codecs are typically transform-domain based and efficiently code stationary audio signals, but they struggle with speech and signals containing dense transient events such as applause.
- Arijit Biswas, Dai Jia
- 2020
Arijit Biswas. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …. Soft Computing-A Fusion of Foundations, Methodologies and Applications 14 …. Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on …. Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on ….
- Advances in Perceptual Stereo Audio Coding Using Linear Prediction Techniques
- Samenvatting
- Acknowledgments
- Terms and Abbreviations
- X(z) x(n)
- H(z) = ; (2.11) ¡B(z) 1 ¡ D(z)
A wide range of techniques for coding a single-channel speech and audio signal has been developed over the last few decades. In addition to pure redundancy reduction, sophisticated source and receiver models have been considered for reducing the bit-rate. Traditionally, speech and audio coders are based on different principles and thus each of them...
Verschillende technieken voor het coderen van enkel-kanaals spraak of audio signalen zijn gedurende de laatste decennia ontwikkeld. Naast zuivere re-dundantiereductie worden bron- en destinatie-modellen ingezet om een lage bit-rate te bereiken. Spraak- en audio-coders zijn ontwikkeld op grond van verschillende principes en daardoor biedt elk zijn s...
I would like to thank my thesis supervisor dr.ir. A.C. den Brinker at Philips Research, for his advice, teaching of basic concepts, technical writing, and scientific ethics. The outcome of this thesis would have been impossible with-out his guidance, and the free discussions that we had during the course of this research. Not only did he regularly ...
AAC ACs ACF ACFW AMR-WB AMR-WB+ BCC BMLD CD CELP dB DFT EVD FIR HE-AAC-v2 Hz IDFT IEC IIR ISC ISO kbit/s kHz LARs LP LPC Advanced Audio Coding Arcsine Coefficients Autocorrelation Function ACF of the Warped Input Signal Adaptive Multi-Rate Wideband Extended Adaptive Multi-Rate Wideband Binaural Cue Coding Binaural Masking Level Difference Compact D...
(¢)H (¢)T (¢)¤ (¢)¤(¢) det[¢] Forward Prediction Polynomial Forward Prediction Matrices Backward Prediction Polynomial Backward Prediction Matrices Zero-Lag Correlation Matrix Correlation Matrices Forward Normalized Reflection Matrices Backward Normalized Reflection Matrices Forward Reflection Matrices Backward Reflection Matrices Natural Frequency...
with the transfer functions of the individual predictors, for example A(z), defined by
AI has become ubiquitous across usages – AI performance required in all tiers of computing. Goal. Enable efficient usage of AI across all services deployed on elastic general-purpose tier by delivering many times more AI performance and lower CPU utilization. For Deep Learning Datatypes.
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Aug 7, 2023 · Arijit Biswas, Harald Mundt. Video Multimethod Assessment Fusion (VMAF) [1], [2], [3] is a popular tool in the industry for measuring coded video quality. In this study, we propose an auditory-inspired frontend in existing VMAF for creating videos of reference and coded spectrograms, and extended VMAF for measuring coded audio quality.
Dr. Arijit Biswas. Principal Scientist, R&D and Control Lab, Tata Steel, India. Verified email at tatasteel.com. Chemical Looping Carbon capture and H2 generation Process Flowsheeting...
