Definition
Audio-to-audio refers to neural network architectures designed to map one audio signal to another. Unlike text-to-speech, this involves direct waveform or spectrogram transformation. Applications include voice conversion, style transfer, noise reduction, and audio enhancement. These models learn complex mappings between source and target domains, allowing for sophisticated manipulation of sound properties such as timbre, pitch, and background environment.
Summary
A generative AI task where input audio is transformed into output audio while preserving or altering specific characteristics.
Key Concepts
- Waveform generation
- Voice conversion
- Spectrogram transformation
- Style transfer
Use Cases
- Real-time voice changers in gaming
- Removing background noise from recordings
- Translating speech while preserving speaker identity