AudioFly – iFLYTEK’s Open-Source Text-to-Sound Effects Model

AI Tools updated 2d ago dongdong
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What is AudioFly?

AudioFly is an open-source AI model from iFLYTEK for generating sound effects from text. Built on a latent diffusion model (LDM) architecture with 1 billion parameters, it is trained on large open datasets such as AudioSet, AudioCaps, TUT, as well as proprietary internal data. AudioFly can generate high-quality audio from text descriptions, with a sampling rate of up to 44.1kHz, producing sound effects that closely match the textual input. The model performs exceptionally well in both single-event and multi-event scenarios, achieving state-of-the-art results on the AudioCaps dataset. AudioFly is suitable for applications such as short video dubbing and audio story generation, opening up limitless possibilities for sound creation.

AudioFly – iFLYTEK’s Open-Source Text-to-Sound Effects Model

Key Features of AudioFly

  • Text-to-sound generation: Generates corresponding sound effects based on user-provided text descriptions. For example, inputting “thunder roaring in the distance” will produce the matching thunder sound effect.

  • High-quality audio output: Generates audio at a 44.1kHz sampling rate with clear sound, suitable for various applications.

  • Multi-scenario support: Supports both single-event sounds (e.g., “dog barking”) and multi-event scenarios (e.g., “dog barking and wind blowing”), accurately reflecting the described content.

  • Efficient generation: Built on an advanced diffusion model architecture, the generation process is efficient and responsive to user requests.

Technical Principles of AudioFly

  • Latent Diffusion Model (LDM) architecture: AudioFly uses a latent diffusion model, a deep learning-based generative framework. The model generates target audio by progressively removing noise, similar to diffusion processes in image generation.

  • Large-scale data training: Trained on extensive open datasets (AudioSet, AudioCaps, TUT) as well as proprietary internal datasets covering diverse sounds and scenarios, enabling the model to generate a wide variety of audio effects.

  • Feature alignment: The training objective ensures that the generated audio closely matches the characteristics of real audio while aligning closely with the textual description.

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Use Cases of AudioFly

  • Short video dubbing: Quickly generate matching sound effects for short videos, enhancing viewer engagement and immersion.

  • Audio story creation: Generate sound effects from text to enrich the atmosphere and emotional expression of stories.

  • Film and TV sound production: Assist production teams in rapidly generating required sound effects, improving efficiency.

  • Game sound design: Produce real-time sound effects for game environments, enhancing player immersion and experience.

  • Advertising and marketing: Generate custom sound effects for ads or audio content, increasing their appeal and memorability.

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