MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions
- URL: http://arxiv.org/abs/2603.28086v1
- Date: Mon, 30 Mar 2026 06:40:59 GMT
- Title: MOSS-VoiceGenerator: Create Realistic Voices with Natural Language Descriptions
- Abstract summary: We present MOSS-VoiceGenerator, an open-source instruction-driven voice generation model that creates new timbres directly from natural language prompts.<n>Motivated by the hypothesis that exposure to real-world acoustic variation produces more perceptually natural voices, we train on large-scale expressive speech data sourced from cinematic content.<n>Subjective preference studies demonstrate its superiority in overall performance, instruction-following, and naturalness compared to other voice design models.
- Score: 60.69565588088127
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Voice design from natural language aims to generate speaker timbres directly from free-form textual descriptions, allowing users to create voices tailored to specific roles, personalities, and emotions. Such controllable voice creation benefits a wide range of downstream applications-including storytelling, game dubbing, role-play agents, and conversational assistants, making it a significant task for modern Text-to-Speech models. However, existing models are largely trained on carefully recorded studio data, which produces speech that is clean and well-articulated, yet lacks the lived-in qualities of real human voices. To address these limitations, we present MOSS-VoiceGenerator, an open-source instruction-driven voice generation model that creates new timbres directly from natural language prompts. Motivated by the hypothesis that exposure to real-world acoustic variation produces more perceptually natural voices, we train on large-scale expressive speech data sourced from cinematic content. Subjective preference studies demonstrate its superiority in overall performance, instruction-following, and naturalness compared to other voice design models.
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