HANCE favicon

HANCE
Embedded Realtime AI Audio Enhancement

What is HANCE?

HANCE offers embedded, real-time AI audio enhancement technology designed for seamless integration into both audio hardware and software. The technology is optimized for a variety of applications, with processing speeds as low as 10 milliseconds. The core models include noise removal (ideal for live voice communication), echo removal (perfect for video conferencing), and stem separation (allowing real-time manipulation of vocals and instruments in music).

HANCE is engineered to be lightweight and CPU-efficient, making it suitable for devices with limited processing power. The company also offers custom model creation for unique audio processing needs, working with clients to develop tailored solutions.

Features

  • Realtime Noise Removal: Enhances live voice communication by eliminating background noise.
  • Realtime Echo Removal: Reduces room echo and reverb for clearer audio in video conferencing and similar applications.
  • Realtime Stem Separation: Allows real-time adjustment or removal of vocals, piano, bass, and drums in music.
  • Lightweight Integration: Library size of 5MB and model sizes as small as 242KB enable integration into various hardware and software.
  • Custom Model Creation: Offers the development of custom AI models to meet specific audio processing requirements.
  • Fast Processing: Achieves processing speeds down to 10 milliseconds for near-instant audio enhancement.

Use Cases

  • Enhancing audio quality in video conferencing software.
  • Improving clarity in live voice communication devices.
  • Integrating real-time audio effects into music production software.
  • Developing advanced features for hearing aids.
  • Noise reduction in industrial communication systems.
  • Enhancing audio in consumer electronics like baby monitors and speakers.
  • Audio improvements in Live Music and broadcasting.

FAQs

  • What exactly does HANCE do for audio in real-time?
    HANCE enhances audio in real-time by removing noise and reverb, boosting voices, and separating instruments from mixed music. It's designed for tech companies involved in microphones, audio gear, video conferencing, podcasting, and streaming software, offering years of development savings and tailored integration.
  • How does the HANCE Audio Engine work?
    Developed by AI specialists, sound engineers, and audio processing experts, the HANCE Audio Engine uses extensive algorithms to reduce noise, remove reverb, recover signals, and classify sounds effectively in real-time. It's highly trainable, adaptable, and efficient in CPU and memory usage.
  • What makes HANCE different from other audio enhancement solutions?
    HANCE stands out due to its hyper-efficient algorithms that ensure minimal CPU and memory footprint while delivering high-quality audio enhancement. Our solutions are highly adaptable and have been refined through years of R&D, making them suitable for a wide range of applications.

Related Queries

Helpful for people in the following professions

HANCE Uptime Monitor

Average Uptime

99.86%

Average Response Time

177.43 ms

Last 30 Days

Related Tools:

Blogs:

  • Best ai tools for Twitter Growth

    Best ai tools for Twitter Growth

    The best AI tools for Twitter's growth are designed to enhance user engagement, increase followers, and optimize content strategy on the platform. These tools utilize artificial intelligence algorithms to analyze Twitter trends, identify relevant hashtags, suggest optimal posting times, and even curate personalized content.

  • Best AI tools for trip planning

    Best AI tools for trip planning

    These tools analyze user preferences, budget constraints, and destination details to provide personalized itineraries, suggest optimal routes, recommend accommodations, and even offer real-time updates on weather and local events.

  • Best text to speech AI tools

    Best text to speech AI tools

    Text-to-speech (TTS) AI tools are designed to convert written or text-based content into natural-sounding spoken audio. These tools utilize various deep learning and neural network architectures to generate human-like speech from textual input.

Didn't find tool you were looking for?

Be as detailed as possible for better results