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The results demonstrate that full-duplex interaction, speech recognition and generation, general language capabilities, and external tool use can be integrated in a single open speech-to-speech model without sacrificing real-time conversational behavior.
This work proposes an efficient method to add streaming ASR capabilities to an existing duplex S2S model by introducing a lightweight ASR head in parallel to the agent text head, enabling real-time user transcription while preserving full-duplex conversational capabilities including turn-taking and barge-in handling.
VoiceChat-TTS is proposed, a low-latency, continuous, and streamable text-to-speech model for interactive agents that enables always-on, responsive speech generation while preserving modularity and high speech quality.
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