Feature analysis of pathological speech signals using local discriminant bases technique

By K. Umapathy, S. Krishnan. 2005

35 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Physiology, Signal Processing

Citations in the corpus

• Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? (2019, neutral): “Indeed, state-of-the-art speech processing algorithms can infer not only the spoken contents from the speech signal, but also the speaker’s identity [5], intention [6–9], gender [10, 11], emotional state [12–14], pathological condition [15–17], personality [18, 19] and cultural [20, 21] attributes t”