Voice data processing method and computer program product

By generating and fusing target multi-turn dialogue data and human voice alignment data, the problem of high-cost and inefficient acquisition of speech training data is solved, and high-quality and diverse speech training data is achieved, providing stronger recognition support for speech agents in noisy environments.

CN122417044APending Publication Date: 2026-07-17CHENGDU BOSS INNOVATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHENGDU BOSS INNOVATION TECH CO LTD
Filing Date
2026-04-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies suffer from high costs, low efficiency, lack of real-world scenario information, and low fidelity when acquiring high-quality speech training data, especially in noisy environments where the recognition accuracy of speech agents is insufficient.

Method used

By acquiring target multi-turn dialogue data and human voice alignment data, initial clean speech data is generated and fused with real environmental noise and background human voice data to simulate a complex acoustic environment and generate high-fidelity, strongly aligned speech training data.

Benefits of technology

It significantly reduces data acquisition costs, improves the realism and diversity of data, enhances the robustness and recognition accuracy of voice training data, and supports stronger voice agent recognition capabilities in noisy environments.

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Abstract

本申请公开了一种语音数据处理方法及计算机程序产品,涉及大模型技术领域,通过目标多轮对话数据的对话情感特征和人声对齐数据的声学特征生成初始纯净语音数据,确保了初始语音的纯净度及其音频信号与文本内容的精确对齐,从源头上保证了数据质量;通过将初始纯净语音数据与真实的环境噪音数据和 / 或背景人声数据进行混合,能够高度模拟真实生活场景中可能遇到的复杂声学环境,使得语音训练数据更具真实感和多样性,不仅降低了数据获取成本、确保语音训练数据富含复杂的真实声学场景信息,而且提高了语音训练数据的获取效率、规模化获取可行性和保真度,从而为后续研发嘈杂环境中仍然具有更强鲁棒性和更高识别准确性的语音智能体提供了数据支撑。
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