Publication

Fast keyword detection with sparse time-frequency models

Related publications (33)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Fast keyword detection with sparse time-frequency models

Graph Chatbot

Chat with Graph Search

Sparse Autoencoders for Speech Modeling and Recognition

Automatic pathological speech assessment

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Understanding and Visualizing Raw Waveform-based CNNs

Sparse and Low-rank Modeling for Automatic Speech Recognition

End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Gradient-based spectral visualization of CNNs using raw waveforms

Sparse Autoencoders for Speech Modeling and Recognition

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

Automatic pathological speech assessment

AM-FM DECOMPOSITION OF SPEECH SIGNAL: APPLICATIONS FOR SPEECH PRIVACY AND DIAGNOSIS

End-to-End Acoustic Modeling using Convolutional Neural Networks for HMM-based Automatic Speech Recognition

Sparse and Low-rank Modeling for Automatic Speech Recognition

Spectral Subspace Analysis for Automatic Assessment of Pathological Speech Intelligibility

Gradient-based spectral visualization of CNNs using raw waveforms

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

Understanding and Visualizing Raw Waveform-based CNNs