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GLM4Voice: low-rate speech tokenization and interleaved pretraining

Contribution grade

Speech-language dialogue systems · Human-designed research method or resource

Reference score60,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Combined an ASR-derived vector-quantized speech tokenizer with synthesized interleaved text/speech pretraining and conversational adaptation of a text-language model.

Scientific scope

Combined an ASR-derived vector-quantized speech tokenizer with synthesized interleaved text/speech pretraining and conversational adaptation of a text-language model. Inherits ASR quantization, speech tokens and GLM4. Acoustic bitrate refers to the discrete semantic interface, not full waveform fidelity at175bps or total system bandwidth. End-to-end conversational quality remains empirically bounded.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits ASR quantization, speech tokens and GLM4. Acoustic bitrate refers to the discrete semantic interface, not full waveform fidelity at175bps or total system bandwidth. End-to-end conversational quality remains empirically bounded.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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