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US 8,554,566 B2Granted
Training and applying prosody models
AssigneeMorphism LLC
InventorJames H. Stephens, Jr.
Life of this patent
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Abstract
Techniques for training and applying prosody models for speech synthesis are provided. A speech recognition engine processes audible speech to produce text annotated with prosody information. A prosody model is trained with this annotated text. After initial training, the model is applied during speech synthesis to generate speech with non-standard prosody from input text. Multiple prosody models can be used to represent different prosody styles.
Claims6
A computer-implementable method for synthesizing audible speech, with varying prosody, from textual content, the method comprising:
- maintaining an inventory of prosody models with lexicons,
- selecting a subset of multiple prosody models from the inventory of prosody models;
- associating prosody models in the subset of multiple prosody models with different segments of a text based on phrases in the text statistically associated with the lexicons of the prosody models;
- applying the associated prosody models to the different segments of the text to produce prosody annotations of the text;
- considering annotations of the prosody annotations to reconcile conflicting prosody annotations of the text previously produced by multiple prosody models associated with a segment of the text;
- and
- synthesizing audible speech from the text and the reconciled prosody annotations.
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Dependencies are inferred from the claim text.