Verified70% confidenceFactTime unknown
AI real-time voice translation systems simulate the simultaneous interpretation process through a pipeline collaboration of three modules: Automatic Speech Recognition (ASR), Neural Machine Translation (NMT), and Text-to-Speech (TTS).
4
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70%
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Long-term
Relevance
5/31/2026
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Verified传统语音AI普遍采用级联式架构，先用ASR将语音转文字，再交给语言模型处理，最后用TTS合成输出84% similarVerifiedTraditional voice dialogue systems consist of three independent modules connected in series—ASR (Automatic Speech Recognition), LLM (Large Language Model), and TTS (Text-to-Speech)—each trained separately and executed sequentially.81% similarVerifiedFor an AI voice assistant to achieve full duplex, four modules must run simultaneously—automatic speech recognition (ASR), natural language understanding (NLU), language model inference, and text-to-speech (TTS)—while also handling voice activity detection (VAD) in real time.81% similarUnverifiedThe transcription and summarization capability of AI voice recorders is essentially the product of deploying speech recognition (ASR) technology and large language models (LLM) in series.80% similarUnverifiedThe main technical approaches for AI simultaneous interpretation are cascaded (ASR→MT→TTS in series, with latency typically exceeding 3–5 seconds) and end-to-end speech-to-speech translation.78% similar
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