Audio Before AI
Traditional audio processing solutions are struggling to meet the exponential growth of demand for high-quality, real-time audio processing:
- Traditional DSP methods based on fixed algorithms and linear processing fall short of modeling complex interactions.
- Custom DSP code offers limited flexibility and requires significant time and expertise to meet those needs.
- Rapid development cycles have become the norm. Creating and fine-tuning custom DSP code is time-consuming and costly.
- Real-time capability requires specialized hardware and extensive customization, further driving up costs.
- DSP code cannot evolve and improve, it cannot learn to be better over time.
Waveshaper: AI Audio Processing
Waveshaper offers a suite of scalable, efficient and real time audio processing solutions developed specifically for your needs. Our proprietary neural network backend is built from the ground up using cutting edge research in time-varying non-linear audio processing To optimize performance and adaptability. We can develop audio processing solutions for complex needs across a wide variety of applications in a fraction of the time and cost necessary to do this with traditional DSP code or competing learning-based approaches.
Our Capabilities
| Waveshaper Features | When You Need It |
|---|---|
| Analog Modeling | When you need to recreate the sound of classic analog hardware (e.g., preamps, compressors, equalizers) in digital environments. |
| Voice Enhancements | When you want to improve the clarity and presence of speech, commonly in podcasts, live broadcasts, or teleconferencing systems. |
| Denoising | When you need to remove unwanted background noise (e.g., hum, hiss, or environmental noise) from recordings or live sound. |
| Echo Cancellation | When microphones and speakers are placed close to each other, causing feedback or echo, particularly in teleconferencing and live sound environments. |
| Spectral Recovery | When you're working with degraded or low-quality audio, such as restoring old recordings or enhancing poorly captured audio. |
| De-clipping | When audio signals are distorted due to excessive volume levels, and you need to repair the clipping in recordings. |
| Custom Mastering | When you want to tailor the final sound of a track to a specific producer’s style or prepare audio for a specific platform or genre. |