Suchergebnisse - linear predictive coding distribution constraint

Non-Parallel Voice Conversion System With WaveNet Vocoder and Collapsed Speech Suppression von Wu, Yi-Chiao, Tobing, Patrick Lumban, Kobayashi, Kazuhiro, Hayashi, Tomoki, Toda, Tomoki

“… , making WN generate some very noisy speech segments called collapsed speech. To tackle the problem, we take conventional-vocoder-generated speech as the reference speech to derive a linear predictive coding distribution constraint (LPCDC …”
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Rate Control with Autoregressive Forecasting for High Frequency Communication von Ko, Allan, Stahlbuhk, Thomas, Shrader, Brooke

“… } correlates with fading variance, \beta denotes a constraint on decoder errors, and Q(\cdot …”
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Non-parallel Voice Conversion System with WaveNet Vocoder and Collapsed Speech Suppression von Yi-Chiao, Wu, Tobing, Patrick Lumban, Kobayashi, Kazuhiro, Hayashi, Tomoki, Toda, Tomoki

“… , making WN generate some very noisy speech segments called collapsed speech. To tackle the problem, we take conventional-vocoder-generated speech as the reference speech to derive a linear predictive coding distribution constraint (LPCDC …”
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Vector quantization of LSF parameters with a mixture of dirichlet distributions von Zhanyu Ma, Leijon, Arne, Kleijn, W. Bastiaan

“… Quantization of the linear predictive coding parameters is an important part in speech coding …”
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LinSATNet: The Positive Linear Satisfiability Neural Networks von Wang, Runzhong, Zhang, Yunhao, Guo, Ziao, Chen, Tianyi, Yang, Xiaokang, Junchi Yan

“… Encoding constraints into neural networks is attractive. This paper studies how to introduce the popular positive linear satisfiability to neural networks …”
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Estimation of allele-specific fitness effects across human protein-coding sequences and implications for disease von Huang, Yi-Fei, Siepel, Adam

“… ( ), for estimating the fitness effects of all observed and potential single-nucleotide variants, based on polymorphism data and predictive genomic features …”
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Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit von Bharioke, Arjun, Chklovskii, Dmitri B.

“… For a correlated signal, this dynamic range constraint can be relieved by subtracting away components of the signal that can be predicted from the past, a strategy known as predictive coding …”
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Robust image compression using Gauss mixture models von Aiyer, Anuradha K

“… ; and quantizer design, wherein the source model is used to design a quantizer that meets desired constraints on rate and distortion …”
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