Speech & Audio Enhancement
- Active Noise Control 6 Hearthrough
- Active Noise Cancellation (ANC) is based on the principle of anti-phase compensation. A cancellation signal is emitted, which superposes and cancels out existing noise. The cancellation signal is created by filtering a reference signal with a filter. This filter is either adjusted online by an adaptive algorithm or optimized in advance by methods of control theory. We are specifically working on the application of ANC for headphones and hearing aids.
- Echo Cancellation
- Acoustic Echo Cancellation deals with the question how to eliminate an occurring echo in conferencing or hands-free communication situations. Key element is the estimation of the acoustical path, over which the incoming signal is transmitted and afterwards received at the microphone as a disturbing echo signal. Therefore adaptive algorithms are used and combined with a postfilter for residual echo supression.
- Bandwidth Extension
- "Artificial Bandwidth Extension" adds synthetic frequency components to narrowband speech. Thus a more natural sounding speech reproduction and an increased intelligibility is achieved.
- Noise Reduction
- Given a noisy input signal, noise reduction aims at attenuates the noise signal component as much as possible while keeping the distortion of the underlying speech signal as low as possible.
- Intelligibility Enhancement
- Algorithms for near-end listening enhancement (NELE) improve the intelligibility of speech from the far-end, played back in a noisy near-end environment, by adaptively filtering the speech signal and taking into account the near-end background noise characteristics.
- Beamforming (Multi-Microphone Systems)
- Reverberant signals cause problems. Dereverberation algorithms suppress reverberation. Typical algorithms and their applications are introduced.
- Dereverberation
- Reverberant signals cause problems. Dereverberation algorithms suppress reverberation. Typical algorithms and their applications are introduced.
