Emotional Features in Speech Language: Audio and Multimedia Applications for disabled persons. Results: A Multimedial Program aimed to help teachers of deaf students. Incremental Learning. Results: A Neural Network Model for function approximation, based on Incremental Learning has been developed. Acoustic and Perceptual Analysis of Gemination in Italian. Results: The perceptual and acoustic attributes of the stop consonants in geminate and non-geminate form have been measured. Spectrum shape analysis of Italian stop consonants: Results: A set of acoustic features has been extracted from the spectrum shape analysis of stop consonants that allow to discriminate among the place of articulation. Acoustic Analysis of Italian Speech, and more: Results: The fundamental frequency, the formant frequencies, and the durations were measured throughout the vocalic portions of a number of phonemically symmetric Italian consonant-vowel-consonant utterances. Moreover, preliminary studies on Dysarthic speech were done. Phonemes recognition and Speech Noise Cancellation and Noise Source Identification: Results: A set of experiments for classifying phonemes extracted from TIMIT have been performed. A set of experiments aimed to cancel noise from speech and to identify the noise source have been perfomed. Neural Network (theory and applications) and Auditory Processing: Results: A neural network for speaker adaptation implemented. A new learning paradigm for neural nets has been developed and applied to implement a parallel neural adder and a neural network for correcting and decoding binary linear code. A model of the auditory apparatus was developed and implemented.