Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …

Humans possess the remarkable ability to selectively attend to a single speaker amidst
competing voices and background noise, known as selective auditory attention. Recent …

Languages usually switch within a multilingual speech signal, especially in a bilingual
society. This phenomenon is referred to as code-switching (CS), making automatic speech …

Speaker extraction and diarization are two enabling techniques for real-world speech
applications. Speaker extraction aims to extract a target speaker's voice from a speech …

This work details our approach to achieving a leading system with a 1.79% pooled equal
error rate (EER) on the evaluation set of the Controlled Singing Voice Deepfake Detection …

The human brain has the capability to associate the unknown person's voice and face by
leveraging their general relationship, referred to as" cross-modal speaker verification''. This …

Sound event localization and detection (SELD) aims to determine the appearance of sound
classes, together with their Direction of Arrival (DOA). However, current SELD systems can …

Target speech extraction (TSE) focuses on extracting the speech of a specific target speaker
from a mixture of signals. Existing TSE models typically utilize static embeddings as …

Traditional speaker diarization seeks to detect``who spoke when''according to speaker
characteristics. Extending to target speech diarization, we detect``when target event …

Over half of the world's population is bilingual and people often communicate under
multilingual scenarios. The Face-Voice Association in Multilingual Environments (FAME) …