Abstract: A text-to-speech system that includes an arrangement for accepting text input, an arrangement for providing synthetic speech output, and an arrangement for imparting emotion-based features to synthetic speech output. The arrangement for imparting emotion-based features includes an arrangement for accepting instruction for imparting at least one emotion-based paradigm to synthetic speech output, as well as an arrangement for applying at least one emotion-based paradigm to synthetic speech output.

Abstract: Building a data-driven text-to-speech system involves collecting a database of natural speech from which to train models or select segments for concatenation. Typically the speech in that database is produced by a single speaker. In this invention we include in our database speech from a multiplicity of speakers.

Abstract: Methods and arrangements for representing the speech waveform in terms of a set of abstract, linguistic distinctions in order to derive a set of discriminative features for use in a speech recognizer. By combining the distinctive feature representation with an original waveform representation, it is possible to achieve a reduction in word error rate of 33% on an automatic speech recognition task.

Abstract: Building a data-driven text-to-speech system involves collecting a database of natural speech from which to train models or select segments for concatenation. Typically the speech in that database is produced by a single speaker. In this invention we include in our database speech from a multiplicity of speakers.

Abstract: Speaker normalization is carried out based on biometric information available about a speaker, such as his height, or a dimension of a bodily member or article of clothing. The chosen biometric parameter correlates with the vocal tract length. Speech can be normalized based on the biometric parameter, which thus indirectly normalizes the speech based on the vocal tract length of the speaker. The inventive normalization can be used in model formation, or in actual speech recognition usage, or both. Substantial improvements in accuracy have been noted at little cost. The preferred biometric parameter is height, and the preferred form of scaling is linear scaling with the scale factor proportional to the height of the speaker.

Abstract: A method for automatically generating pitch contours in a text to speech (TtS) system, the system converting input text into an output acoustic signal simulating natural speech, the method comprising the steps of: storing a plurality of associated stress and pitch level pairs, each of the plurality of pairs including a lexical stress level and a pitch level; calculating lexical stress levels of the input text; comparing the stress levels of the input text to the stored stress levels of the plurality of associated stress and pitch level pairs to find the stored stress levels closest to the stress levels of the input text; and copying the pitch levels associated with the closest stored stress levels of the stress and pitch level pairs to generate the pitch contours of the input text.