Concept
Linear predictive coding
Publications associées (96)
Benchmarking machine-readable vectors of chemical reactions on computed activation barriers
Ksenia Briling, Puck Elisabeth van Gerwen, Yannick Calvino Alonso, Malte Martin Franke
In recent years, there has been a surge of interest in predicting computed activation barriers, to enable the acceleration of the automated exploration of reaction networks. Consequently, various predictive approaches have emerged, ranging from graph-based ...
Royal Soc Chemistry2024Learned Compressive Representations for Single-Photon 3D Imaging
Edoardo Charbon, Claudio Bruschini, Andrei Ardelean, Mohit Gupta
Single-photon 3D cameras can record the time-of-arrival of billions of photons per second with picosecond accuracy. One common approach to summarize the photon data stream is to build a per-pixel timestamp histogram, resulting in a 3D histogram tensor that ...
Ieee Computer Soc2023COBRA: Enhancing DNN Latency Prediction with Language Models trained on Source Code
With the recent developments of Deep Learning, having an accurate and device specific latency prediction for Deep Neural Networks (DNNs) has become important for both the manual and automatic design of efficient DNNs. Directly predicting the latency of DNN ...
2022NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
As the size and complexity of models and datasets grow, so does the need for communication-efficient variants of stochastic gradient descent that can be deployed to perform parallel model training. One popular communication-compression method for data-para ...
MICROTOME PUBL2021The unfolding argument: Why IIT and other causal structure theories cannot explain consciousness
Michael Herzog, Kathryn Hess Bellwald, Adrien Christophe Doerig, Aaron Schurger
How can we explain consciousness? This question has become a vibrant topic of neuroscience research in recent decades. A large body of empirical results has been accumulated, and many theories have been proposed. Certain theories suggest that consciousness ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2019Development of coherent mid-infrared source using chalcogenide photonic crystal fibers
Many molecule bonds have vibration frequencies in the mid-infrared band. Thus, this band is of great interest to molecular spectroscopy, material processing and medical applications. However, many optical materials typically used for laser sources experien ...
EPFL2019Combining the SNR Spectrum with a Cochlear Model
The SNR spectrum was previously introduced as a natural consequence of using cepstral normalisa-
tion in speech recognition; it is closely related to the articulation index of Fletcher. Motivated initially
by a theoretical difficulty in frequency warping, ...
Idiap2018SIIP: An Innovative Speaker Identification Approach for Law Enforcement Agencies
This paper describes SIIP (Speaker Identification Integrated Project) a high performance innovative and sustainable Speaker Identification (SID) solution, running over large voice samples database. The proposed solution is based on development, integration ...
STO2018Hybrid Golay-coded Brillouin optical time-domain analysis based on differential pulses
Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Zhisheng Yang, Zonglei Li
Different approaches to implement unipolar Golay coding in Brillouin optical time-domain analysis based on a differential pulse pair (DPP) are investigated. The analysis points out that dedicated post-processing procedures must be followed to secure the sh ...
2018Bob Speaks Kaldi
Sébastien Marcel, Milos Cernak, André Anjos, Amir Mohammadi
This paper introduces and demonstrates Kaldi integration into Bob signal-processing and machine learning toolbox. The motivation for this integration is two-fold. Firstly, Bob benefits from using advanced speech processing tools developed in Kaldi. Secondl ...
2017