摘要:
A speech recognition system includes a receiver component that receives a distorted speech utterance. The speech recognition also includes an adaptor component that selectively adapts parameters of a compressed model used to recognize at least a portion of the distorted speech utterance, wherein the adaptor component selectively adapts the parameters of the compressed model based at least in part upon the received distorted speech utterance.
摘要:
A speech recognition system includes a receiver component that receives a distorted speech utterance. The speech recognition also includes an adaptor component that selectively adapts parameters of a compressed model used to recognize at least a portion of the distorted speech utterance, wherein the adaptor component selectively adapts the parameters of the compressed model based at least in part upon the received distorted speech utterance.
摘要:
Described is noise reduction technology generally for speech input in which a noise-suppression related gain value for the frame is determined based upon a noise level associated with that frame in addition to the signal to noise ratios (SNRs). In one implementation, a noise reduction mechanism is based upon minimum mean square error, Mel-frequency cepstra noise reduction technology. A high gain value (e.g., one) is set to accomplish little or no noise suppression when the noise level is below a threshold low level, and a low gain value set or computed to accomplish large noise suppression above a threshold high noise level. A noise-power dependent function, e.g., a log-linear interpolation, is used to compute the gain between the thresholds. Smoothing may be performed by modifying the gain value based upon a prior frame's gain value. Also described is learning parameters used in noise reduction via a step-adaptive discriminative learning algorithm.
摘要:
Described is noise reduction technology generally for speech input in which a noise-suppression related gain value for the frame is determined based upon a noise level associated with that frame in addition to the signal to noise ratios (SNRs). In one implementation, a noise reduction mechanism is based upon minimum mean square error, Mel-frequency cepstra noise reduction technology. A high gain value (e.g., one) is set to accomplish little or no noise suppression when the noise level is below a threshold low level, and a low gain value set or computed to accomplish large noise suppression above a threshold high noise level. A noise-power dependent function, e.g., a log-linear interpolation, is used to compute the gain between the thresholds. Smoothing may be performed by modifying the gain value based upon a prior frame's gain value. Also described is learning parameters used in noise reduction via a step-adaptive discriminative learning algorithm.
摘要:
A method and apparatus identify a clean speech signal from a noisy speech signal. To do this, a clean speech value and a noise value are estimated from the noisy speech signal. The clean speech value and the noise value are then used to define a gain on a filter. The noisy speech signal is applied to the filter to produce the clean speech signal. Under some embodiments, the noise value and the clean speech value are used in both the numerator and the denominator of the filter gain, with the numerator being guaranteed to be positive.
摘要:
A method and apparatus identify a clean speech signal from a noisy speech signal. To do this, a clean speech value and a noise value are estimated from the noisy speech signal. The clean speech value and the noise value are then used to define a gain on a filter. The noisy speech signal is applied to the filter to produce the clean speech signal. Under some embodiments, the noise value and the clean speech value are used in both the numerator and the denominator of the filter gain, with the numerator being guaranteed to be positive.
摘要:
This invention provides nucleoside triphosphate analogues having the structure: wherein B is a base and is adenine, guanine, cytosine, uracil or thymine, wherein R″ is an OH or an H, and wherein R′ is azidomethyl, a hydrocarbyl, or a substituted hydrocarbyl, and which has a Raman spectroscopy peak with wavenumber from 2000 cm−1 to 2300 cm−1 or a Fourier transform-infrared spectroscopy spectroscopy peak with wavenumber from 2000 cm−1 to 2300 cm−1, and also to methods of DNA sequencing and SNP detection.
摘要:
Processes for making light to current converter devices are provided. The processes can be used to make light to current converter devices having P-N junctions located on only the top surface of the cell, located on the top surface and symmetrically or asymmetrically along a portion of the inner surface of the via holes, located on the top surface and full inner surface of the via holes, or located on the top surface, full inner surface of the via holes, and a portion of the bottom surface of the cell. The processes may isolate the desired P-N junction by etching the emitter, forming a via hole after forming the emitter, using a barrier layer to protect portions of the emitter from etching, or using a barrier layer to prevent the emitter from being formed on portions of the substrate.
摘要:
This disclosure provides an isolated or purified decellularized liver extracellular matrix (DLM) composition containing an isolated or purified cell capable of differentiating into a hepatocyte and/or liver tissue, and methods for its use in vitro and in vivo.
摘要:
A full-automatic detecting system and method for a transformer. The system comprises a material delivery line; a feed device; a detection delivery line; insulating test devices; error detecting devices; a laser marking device; a discharge device; and a detection management system. The insulating test devices, the error detecting devices, and the laser marking device are sequentially arranged beside the detection delivery line. The material delivery line, the detection delivery line, and the devices work in coordination, to realize full-automatic detection of the transformer, avoid manual detection errors and improve the sorting accuracy.