Loading patent…
OwnerAdam Simone, Roman Budnovich +1inventors
InventorsAdam Simone, Roman Budnovich, Avraham Entelis
Estimating the term…
A sub-phoneme model given acoustic data which corresponds to a phoneme. The acoustic data is generated by sampling an analog speech signal producing a sampled speech signal. The sampled speech signal is windowed and transformed into the frequency domain producing Mel frequency cepstral coefficients of the phoneme. The sub-phoneme model is used in a speech recognition system. The acoustic data of the phoneme is divided into either two or three sub-phonemes. A parameterized model of the sub-phonemes is built, where the model includes Gaussian parameters based on Gaussian mixtures and a length dependency according to a Poisson distribution. A probability score is calculated while adjusting the length dependency of the Poisson distribution. The probability score is a likelihood that the parameterized model represents the phoneme. The phoneme is subsequently recognized using the parameterized model.
A method of preparing a sub-phoneme model given acoustic data corresponding to a phoneme, wherein the acoustic data is generated by sampling an analog speech signal thereby producing a sampled speech signal, wherein the sampled speech signal is windowed and transformed into the frequency domain thereby producing Mel frequency cepstral coefficients of the phoneme, the sub-phoneme model for use in a speech recognition system, the method comprising:
A method of preparing a sub-phoneme model given acoustic data corresponding to a phoneme, for use in a speech recognition system, the method comprising:
Dependencies are inferred from the claim text.