Extract target speaker audio from mixed recordings
Separate noisy audio into clean speaker tracks
Clean up noisy audio files
Remove noise from your speech recordings
Convert text to speech with background music
Easily remove your videos background!
A music separation model
Transcribe and process audio files
Deep Learning implementation of DAE + VAE
Vocal and background audio separator
Transcribe audio and identify background sounds
Clean up noisy images using kNN denoising
Remove silence and split audio into segments
Target Speaker Extraction is a cutting-edge audio processing technology designed to isolate the speech of a specific speaker from mixed audio recordings. It is particularly useful in environments where multiple voices or background noises are present, allowing users to focus on the audio of the target speaker with improved clarity and precision. This technology leverages advanced AI models to separate and extract the desired speaker's voice while minimizing interference from other sounds.
• Speaker Isolation: Accurately isolates the target speaker’s voice from mixed audio.
• Background Noise Reduction: Effectively minimizes ambient noise and interference.
• Multi-Speaker Support: Works with audio containing multiple speakers.
• High-Quality Output: Delivers clean and clear audio output.
• Versatile Formats: Supports various audio formats for input and output.
What types of audio files are supported?
Target Speaker Extraction supports a variety of audio formats, including WAV, MP3, and AAC.
Can I use it in real-time?
Yes, the technology can be applied in real-time for live audio processing, making it suitable for applications like conferencing or podcasts.
What if the audio has multiple speakers talking at the same time?
The technology is designed to handle overlapping speech and can still extract the target speaker’s voice with high accuracy.