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Based on the technical support of Google Gemini Live and Microsoft Azure Speech to Text, it can accurately understand complex voice commands and precisely recognize various natural language expressions, demonstrating excellent performance when processing speech with different accents, speeds, and intonations.
Leveraging advanced neural network architectures such as WaveNet and Tacotron from Google, along with Microsoft Azure AI voice services, it excels in processing audio signals and language modeling, producing speech that is natural and fluent, closely resembling human pronunciation; the synthesized voice better captures the subtle nuances of human speech in terms of intonation, rhythm, and emotion, making the generated speech more vivid and authentic.
The translator picks up the languagesvnchronously translates it into the B lanquageand svnchronously outputs it to multip econnected headphones
The translation machine is set up in twolanguages. The two groups of personnel wearheadphones, speak freely and hear the translationof each other's languages simultaneously.
One person wears headphones and one persontakes a mobile phone. which is suitable forstrangers who are not convenient to wear yourheadphones.
Identify conversations in the conference roomand convert them into text for viewing