The rapid progress of multimodal signal processing in recent years has cleared the way for
novel applications in human-computer interaction, surveillance, and telecommunication …

Automatic speaker verification is susceptible to various manipulations and spoofing, such as
text-to-speech synthesis, voice conversion, replay, tampering, adversarial attacks, and so …

Voice activity detection is an essential pre-processing component for speech-related tasks
such as automatic speech recognition (ASR). Traditional supervised VAD systems obtain …

We present MarbleNet, an end-to-end neural network for Voice Activity Detection (VAD).
MarbleNet is a deep residual network composed from blocks of 1D time-channel separable …

As artificial intelligence and digitalization technologies are flourishing real-time, online
interaction–based commercial modes, exploiting customers' purchase intention implied in …

This paper provides a detailed description of the Hitachi-JHU system that was submitted to
the Third DIHARD Speech Diarization Challenge. The system outputs the ensemble results …

Ultralow-power sensing with inference functionality embedded in sensor nodes is essential
for enabling the emerging pervasive intelligence. For acoustic inference sensing, the feature …

All existing databases of spoofed speech contain attack data that is spoofed in its entirety. In
practice, it is entirely plausible that successful attacks can be mounted with utterances that …

Abstract The quality of Speech Recognition systems has improved, with a shift focus from
short utterance scenarios like Voice Assistants and Voice Search to extended utterance …

This paper presents the problems and solutions addressed at the JSALT workshop when
using a single microphone for speaker detection in adverse scenarios. The main focus was …