Coded Speech Enhancement

Coded speech enhancement methods are a set of techniques that aim to improve the quality and intelligibility of speech signals that have been distorted by lossy codecs for transmission or storage in communication systems. The lossy codecs lead to a loss of quality and intelligibility in the speech signal, especially in low-bitrate communication systems.

The coded speech enhancement involves applying various signal processing and machine learning techniques to improve the quality and intelligibility of the decoded speech signal. The enhancement is becoming increasingly important due to the growing demand for digital voice communication, speech recognition, and audio storage. Coded speech enhancement research can also help to improve the quality of speech signals in adverse conditions, such as noisy environments or low bandwidth communication systems.

Applications

The future application of coded speech enhancement research is promising. Machine learning-based methods are one area of research that has shown promise in improving the quality of speech signals in low-bitrate communication systems. These methods involve using artificial intelligence algorithms to learn from large datasets of speech signals and to develop models that can accurately predict the original clean speech signals.