Search Results for author:
Found 6 papers, 2 papers with code
Disentangling speech from surroundings with neural embeddings
We present a method to separate speech signals from noisy environments in the embedding space of a neural audio codec.
Multi-Channel Speech Denoising for Machine Ears
This work describes a speech denoising system for machine ears that aims to improve speech intelligibility and the overall listening experience in noisy environments.
Neural Architecture Search for Energy Efficient Always-on Audio Models
Mobile and edge computing devices for always-on classification tasks require energy-efficient neural network architectures.
Putting a Face to the Voice: Fusing Audio and Visual Signals Across a Video to Determine Speakers
In this paper, we present a system that associates faces with voices in a video by fusing information from the audio and visual signals.
CNN Architectures for Large-Scale Audio Classification
Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio.
Collaborative Filtering and the Missing at Random Assumption
Rating prediction is an important application, and a popular research topic in collaborative filtering.
