New waves of consumer-centric applications, such as voice search and voice interaction
with mobile devices and home entertainment systems, increasingly require automatic …

Collecting high quality conversational data can be very expensive for most applications and
infeasible for others due to privacy, ethical, or similar concerns. A promising direction to …

In contrast to the conventional minimum mean square error (MMSE)-based noise reduction
techniques, we propose a supervised method to enhance speech by means of finding a …

Public evaluation campaigns and datasets promote active development in target research
areas, allowing direct comparison of algorithms. The second edition of the challenge on …

Formulating speech separation as a binary classification problem has been shown to be
effective. While good separation performance is achieved in matched test conditions using …

Abstract Automatic Speech Recognition (ASR) system is an emerging technology used in
various fields such as robotics, traffic controls, and healthcare, etc. The leading cause of …

Transportation and locomotion mode recognition from multimodal smartphone sensors is
useful for providing just-in-time context-aware assistance. However, the field is currently …

Distant microphone speech recognition systems that operate with human-like robustness
remain a distant goal. The key difficulty is that operating in everyday listening conditions …

We present the outcomes of three recent evaluation campaigns in the field of audio and
biomedical source separation. These campaigns have witnessed a boom in the range of …

The estimation of the time-and frequency-dependent coherent-to-diffuse power ratio (CDR)
from the measured spatial coherence between two omnidirectional microphones is …