Publication

The segmentation of multi-channel meeting recordings for automatic speech recognition

Related publications (32)

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.

The segmentation of multi-channel meeting recordings for automatic speech recognition

Graph Chatbot

Chat with Graph Search

Improving the Training of Compact Neural Networks for Visual Recognition

Sound and Complete Verification of Polynomial Networks

Crowding and the importance of grouping and segmentation processes in human vision

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset

Mixed-Precision Deep Learning Based on Computational Memory

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

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

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Improving the Training of Compact Neural Networks for Visual Recognition

Sound and Complete Verification of Polynomial Networks

Crowding and the importance of grouping and segmentation processes in human vision

Mixed-Precision Deep Learning Based on Computational Memory

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Large-Scale Image Segmentation with Convolutional Networks

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

Large-Scale Image Segmentation with Convolutional Networks

Tracking and Relative Localization of Drone Swarms With a Vision-Based Headset

Leveraging Convolutional Pose Machines for Fast and Accurate Head Pose Estimation