Method for conditioning a database for automatic speech processing
AssigneeSiemens Aktiengesellschaft
InventorHorst-Udo Hain
Life of this patent
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AssigneeSiemens Aktiengesellschaft
InventorHorst-Udo Hain
Estimating the term…
A neural network can be trained for synthesizing or recognizing speech with the aid of a database produced by automatically matching graphemes and phonemes. First, graphemes and phonemes are matched for words which have the same number of graphemes and phonemes. Next, graphemes and phonemes are matched for words that have more graphemes than phonemes in a series of steps that combine graphemes with preceding phonemes. Then, graphemes and phonemes are matched for words that have fewer graphemes than phonemes. After each step, infrequent and unsuccessful matches made in the preceding step are are erased. After this process is completed, the database can be used to train the neural network and graphemes, or letters of a text can be converted into the corresponding phonemes with the aid of the trained neural network.
A method for conditioning a database of words formed of graphemes and phonemes, for automatic speech processing using the database, said method comprising:
A method for training a neural network to assign graphemes to phonemes for automatic speech processing, comprising:
A computer-readable medium having stored thereon instructions for assigning graphemes to phonemes for synthesizing speech, comprising:
A computer-readable medium having stored thereon instructions for assigning phonemes to graphemes for recognition of speech, comprising:
An apparatus comprising:
An electronically readable data medium storing at least one computer program to control a processor to perform a method for conditioning a database of words formed of graphemes and phonemes for automatic speech processing using the database, said method comprising:
Dependencies are inferred from the claim text.