Publication

Fast keyword detection with sparse time-frequency models

Publications associées (33)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Fast keyword detection with sparse time-frequency models

Graph Chatbot

Chattez avec 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

Gradient-based spectral visualization of CNNs using raw waveforms

Phonetic Subspace Features for Improved Query by Example Spoken Term Detection

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