Activity Detection
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Benchmarks
AVA-Speech
Most implemented
PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction
Diarization-Guided Qwen-ASR Adaptation for Multilingual Two-Speaker Conversational Speech
Moshi: a speech-text foundation model for real-time dialogue
Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization
ROAD: The ROad event Awareness Dataset for Autonomous Driving
pyannote.audio: neural building blocks for speaker diarization
Papers
VAD to the Bone: Ultra-Tiny Speech Activity Detection for Edge Deployment
Voice activity detection (VAD) triggers downstream speech processing in always-on systems under strict memory, latency, and compute constraints. Recent compact models report strong accuracy but rely on components that ar…
Activity DetectionTime-Frequency Consistency Learning for Robust Speech Deepfake Detection
Recently, speech deepfake detection (SDD) has achieved significant progress. However, its robustness evaluation remains largely confined to controlled additive noise scenarios, lacking systematic investigation of the com…
Activity DetectionDeepFake DetectionTranscript-Free Lightweight Detection of Alzheimer's Disease from Spontaneous Speech Using Handcrafted MFCC-Dominant Acoustic Biomarkers
It is still hard to find Alzheimer's disease (AD) early, especially when neuroimaging is expensive or tools that depend on language are not available. Spontaneous speech provides a non-invasive signal; however, numerous …
Activity DetectionDiarization-Guided Qwen-ASR Adaptation for Multilingual Two-Speaker Conversational Speech
This paper describes our self-designed system for Task 1 of the MLC-SLM 2026 Challenge for multilingual two-speaker conversational speech. The system combines a modular speaker diarization front end with a challenge-adap…
Reinforcement LearningSpeaker DiarizationActivity DetectionPS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction
Training target speaker extraction (TSE) models for real conversational mixtures remains challenging because large-scale training corpora and clean target speech for supervision are unavailable. We present PS4, a proxy-s…
Activity DetectionLuxEmo: Expressive Text-to-Speech Corpus for Luxembourgish
State-of-the-art speech datasets predominantly focus on widely spoken languages, often overlooking low-resource languages such as Luxembourgish, which remain underrepresented in speech technology research. In this work, …
Language IdentificationCross-Lingual TransferActivity Detection