Abstract:
The present invention teaches a method (400), device and system (300) utilizing at least one of: mapping a sequence of phones to a sequence of articulatory features and utilizing prominence and boundary information, in addition to a predetermined set of rules for type, phonetic context, syntactic and prosodic context for phones to provide a system that generates segment durations efficiently with a small training set.
Abstract:
Text may be converted to audible signals, such as speech, by first training a neural network using recorded audio messages (204). To begin the training, the recorded audio messages are converted into a series of audio frames (205) having a fixed duration (213). Then, each audio frame is assigned a phonetic representation (203) and a target acoustic representation, where the phonetic representation (203) is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation is a vector of audio information such as pitch and energy. After training, the neural network is used in conversion of text into speech. First, text that is to be converted is translated to a series of phonetic frames of the same form as the phonetic representations (203) and having the fixed duration (213). Then the neural network produces acoustic representations in response to context descriptions (207) that include some of the phonetic frames. The acoustic representations are then converted into a speech wave form by a synthesizer.
Abstract:
A method (500, 600), device (201 and 206) and system (203) provide, in response to text/linguistic information, efficient generation of a parametric representation of speech. A coder parameter generating system provides a principal set and a supplementary set of speech parameters, the principal set of speech parameters being the parametric representation of speech. Then feedback is provided to the coder parameter generating system using the supplementary set of speech parameters to modify the principal set of speech parameters.
Abstract:
The present invention teaches a method (400), device and system (300) utilizing at least one of: mapping a sequence of phones to a sequence of articulatory features and utilizing prominence and boundary information, in addition to a predetermined set of rules for type, phonetic context, syntactic and prosodic context for phones to provide a system that generates segment durations efficiently with a small training set.
Abstract:
The present invention teaches a method (400), device and system (300) utilizing at least one of: mapping a sequence of phones to a sequence of articulatory features and utilizing prominence and boundary information, in addition to a predetermined set of rules for type, phonetic context, syntactic and prosodic context for phones to provide a system that generates segment durations efficiently with a small training set.
Abstract:
Text may be converted to audible signals, such as speech, by first training a neural network using recorded audio messages (204). To begin the training, the recorded audio messages are converted into a series of audio frames (205) having a fixed duration (213). Then, each audio frame is assigned a phonetic representation (203) and a target acoustic representation, where the phonetic representation (203) is a binary word that represents the phone and articulation characteristics of the audio frame, while the target acoustic representation is a vector of audio information such as pitch and energy. After training, the neural network is used in conversion of text into speech. First, text that is to be converted is translated to a series of phonetic frames of the same form as the phonetic representations (203) and having the fixed duration (213). Then the neural network produces acoustic representations in response to context descriptions (207) that include some of the phonetic frames. The acoustic representations are then converted into a speech wave form by a synthesizer.
Abstract:
A method (500, 600), device (201 and 206) and system (203) provide, in response to text/linguistic information, efficient generation of a parametric representation of speech. A coder parameter generating system provides a principal set and a supplementary set of speech parameters, the principal set of speech parameters being the parametric representation of speech. Then feedback is provided to the coder parameter generating system using the supplementary set of speech parameters to modify the principal set of speech parameters.