Fun-AudioGen-VD - A sound design model launched by Ali Tongyi Lab

Fun-AudioGen-VD is an innovative voice model launched by the voice team of Alibaba Tongyi Lab. It is positioned as a professional tool for “sound design and scene-based audio generation”. The model supports “FreeStyle” free command generation, which can generate high-quality audio containing specific timbres, emotional expressions and complete auditory scenes at one time based on natural language descriptions, realizing integrated sound creation of “character + scene”. In terms of timbre control, Fun-AudioGen-VD can accurately control basic attributes such as gender, age, accent, pitch, and speaking speed. It supports sound quality characteristics such as hoarseness, clearness, and magnetism, as well as emotional expressions such as anger, sadness, and determination, and can simulate complex psychological states such as “calm on the surface but trembling on the inside.” In terms of scene construction, the model can superimpose environmental sounds such as urban noise and battlefield roars, simulate the reverberation of cathedrals and underwater spaces, restore the listening experience of old-fashioned radios, walkie-talkies and other equipment, and achieve dynamic environmental interactive effects such as wind noise discontinuity and echo changes.

Main functions of Fun-AudioGen-VD

• FreeStyle free instruction generation : Supports the use of natural language description to directly generate target timbres and complete auditory scenes without complex parameter settings, realizing “character + scene” integrated audio creation.
• Refined tone control : It can control basic attributes such as gender, age, accent, pitch, and speaking speed, and supports voice quality characteristics such as hoarse, clear, deep, and magnetic, as well as emotional expressions such as anger, sadness, excitement, and determination.
• Complex mental state simulation : It can present delicate emotional levels such as “calm on the surface but trembling on the inside”, and realize the vocal expression of the character’s inner activities.
• Immersive scene construction : Can superimpose environmental sounds such as city noise, cafe background, and battlefield roar to create a real auditory atmosphere.
• Space reverberation simulation : Supports the echo effect of specific spaces such as cathedrals, metal cells, and underwater to enhance the sense of space in the scene.
• Device hearing filter : Restore the special sound quality characteristics of old radios, walkie-talkies, respiratory masks, telephones and other equipment.
• dynamic environment interaction : Realize real-time environment interaction such as wind noise intermittent, echo changes, hoarse effects, etc., to enhance audio realism.
• Character preset simulation : Built-in tone templates for typical roles such as customer service, veterans, children, AI assistants, announcers, etc. to quickly match creative needs.

Technical principles of Fun-AudioGen-VD

• Large model architecture basics : Based on the Alibaba Tongyi speech large model technology stack, it adopts a deep learning generative architecture to support end-to-end text-to-audio generation.
• Multi-dimensional acoustic feature decoupling : Decoupling modeling of acoustic attributes such as timbre, emotion, speech speed, and sound quality to achieve independent control and combination of each dimension.
• Scenario-based audio fusion technology : Using a multi-track audio synthesis mechanism, elements such as vocals, ambient sounds, spatial reverberation, and equipment filters are layered and then fused and output.
• Physical acoustic simulation : Use algorithms to simulate physical characteristics such as sound wave reflection, reverberation attenuation, and media propagation in real spaces, and restore the auditory experience of cathedrals, underwater and other scenes.
• Device distortion modeling : Model the frequency response characteristics, compression distortion, and noise floor of old radios, walkie-talkies and other equipment to restore the retro listening experience.
• Dynamic interaction engine : Supports dynamic adjustment of real-time environmental parameter changes (such as wind noise intensity, echo delay), and generates natural audio with timing changes.
• Natural language understanding module : Built-in semantic analysis layer maps abstract descriptions such as “calm on the surface but trembling on the inside” into specific acoustic parameter combinations.
• Streaming generation optimization : Optimize reasoning efficiency for real-time application scenarios and support low-latency API call responses.

How to use Fun-AudioGen-VD

• API call access :Pass Alibaba Cloud Bailian PlatformObtain the API key and call the text-to-speech interface to use it without deploying the model locally.
• Official document reference : Visit the Alibaba Cloud Help Center to view detailed API documentation (https://help.aliyun.com/zh/model-studio/text-to-speech).
• FreeStyle command input : Directly describe the target voice in natural language, such as “a young woman who is calm on the surface but trembling on the inside, speaking on a walkie-talkie in a noisy cafe.”

Application scenarios of Fun-AudioGen-VD

• Film and television animation dubbing : Quickly generate dubbing materials that fit the character settings, support complex emotions and scene atmosphere, and reduce professional dubbing costs.
• Game character voice : Generate personalized voices for NPCs and protagonists, supporting different emotional states and combat/exploration scene switching.
• audiobook production : Automatically matches character timbres and scene environment sounds based on the plot of the novel to enhance the audience’s immersion.
• AI agent sound design : Customize unique timbres and brand voice images for virtual assistants and customer service robots.
• Advertising and Marketing Audio : Generate narration and scene sound effects that are in line with the brand’s tone, and quickly produce multiple versions of test materials.
• Podcasts and Radio Drama : Simulate the recording effects of different spaces (such as telephone interviews, on-site reports) to enrich the program’s layering. ©