Abstract: The invention relates to a process and a system for voice recognition in a noisy signal. In a preferred embodiment, the system (2) comprises modules for detecting speech (30) and for formulating a noise model (31), a module (40) for quantifying the energy level of the noise and for comparing with preestablished energy spans, a parameterization pathway (5) comprising an optional denoising module (51), with Wiener filter, a module (52) for calculating the spectral energy in Bark windows, a module (50, 530) for applying a configuration of shift values (531), by adding these values to the Bark coefficients, as a function of the quantification (40), so as to modify the parameterization, a module (54) for calculating vectors of parameters, and a block (6) for recognizing shapes, performing the voice recognition by comparison with vectors of parameters prerecorded during a learning phase.

Abstract: A method and system for communicating information to a telephony user in response to a request for the information from the telephony user includes a text data source having text documents and a voice application operable with the text data source for retrieving a text document related to the requested information. A text-to-speech (TTS) manager divides the text document into text document segments. TTS engines convert the text document segments into speech segments. Each text document segment is converted into a speech segment by one TTS engine. A buffer reassembles the speech segments in the proper order and then delivers the speech segments to the user. The TTS manager divides the text document as a function of the rate at which speech segments are delivered to the user such that the speech segments are delivered from the TTS engines to the buffer and from the buffer to the user continuously.