Unverified50% confidenceFactExact time
Low latency and high recognition accuracy involve the selection of Voice Activity Detection (VAD) and Speech-to-Text (STT) engines
1
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50%
Confidence
Long-term
Relevance
9/17/2026
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Related Claims
UnverifiedAdding preprocessing steps such as noise reduction, dereverberation, volume normalization, and VAD before audio enters the STT system can significantly improve downstream transcription quality.78% similarUnverified语音智能体典型系统架构由VAD、STT、意图识别/LLM推理、TTS等环节串联构成，工业界通常将端到端目标设定在首字节音频输出500ms以内77% similarUnverified打断检测能力涉及端点检测（VAD，Voice Activity Detection）算法77% similarVerifiedVoice activity detection (VAD) is responsible for determining whether the user is still speaking; modern systems combine semantic understanding with acoustic features to identify turn-taking moments.76% similarUnverifiedTraditional voice activity detection (VAD) methods rely on energy thresholds and silence duration to determine whether speech has ended, which is prone to misjudgment in real conversations.75% similar
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