| Patent application number | Description | Published |
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| 20090192799 | Breathing Apparatus Speech Enhancement - Speech enhancement in a breathing apparatus is provided using a primary sensor mounted near a breathing mask user's mouth, at least one reference sensor mounted near a noise source, and a processor that combines the signals from these sensors to produce an output signal with an enhanced speech component. The reference sensor signal may be filtered and the result may be subtracted from the primary sensor signal to produce the output signal with an enhanced speech component. A method for detecting the exclusive presence of a low air alarm noise may be used to determine when to update the filter. A triple filter adaptive noise cancellation method may provide improved performance through reduction of filter maladaptation. The speech enhancement techniques may be employed as part of a communication system or a speech recognition system. | 07-30-2009 |
| 20100088089 | Speech Synthesizer - Synthesizing a set of digital speech samples corresponding to a selected voicing state includes dividing speech model parameters into frames, with a frame of speech model parameters including pitch information, voicing information determining the voicing state in one or more frequency regions, and spectral information. First and second digital filters are computed using, respectively, first and second frames of speech model parameters, with the frequency responses of the digital filters corresponding to the spectral information in frequency regions for which the voicing state equals the selected voicing state. A set of pulse locations are determined, and sets of first and second signal samples are produced using the pulse locations and, respectively, the first and second digital filters. Finally, the sets of first and second signal samples are combined to produce a set of digital speech samples corresponding to the selected voicing state. | 04-08-2010 |
| 20100094620 | Voice Transcoder - First encoded voice bits are transcoded into second encoded voice bits by dividing the first encoded voice bits into one or more received frames, with each received frame containing multiple ones of the first encoded voice bits. First parameter bits for at least one of the received frames are generated by applying error control decoding to one or more of the encoded voice bits contained in the received frame, speech parameters are computed from the first parameter bits, and the speech parameters are quantized to produce second parameter bits. Finally, a transmission frame is formed by applying error control encoding to one or more of the second parameter bits, and the transmission frame is included in the second encoded voice bits. | 04-15-2010 |
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| 20080262822 | Simulation using resource models - Operational resource modeling is usable to analyze application and computer system performance over a wide range of hypothetical scenarios. Operational resource modeling involves creating and training one or more resource models, and/or simulating hypothetical scenarios using resource models. | 10-23-2008 |
| 20080262823 | Training of resource models - Operational resource modeling is usable to analyze application and computer system performance over a wide range of hypothetical scenarios. Operational resource modeling involves creating and training one or more resource models, and/or simulating hypothetical scenarios using resource models. | 10-23-2008 |
| 20080262824 | Creation of resource models - Operational resource modeling is usable to analyze application and computer system performance over a wide range of hypothetical scenarios. Operational resource modeling involves creating and training one or more resource models, and/or simulating hypothetical scenarios using resource models. | 10-23-2008 |
| 20090006071 | Methods for Definition and Scalable Execution of Performance Models for Distributed Applications - A method and system for defining performance models of distributed applications such as distributed systems or network systems in a way that combines discrete and analytical models and simulating such performance models for analyzing software performance and impacts on devices of the distributed applications is described. Also described is a method for accelerating the simulation process by converting the discrete load into aggregate load dynamically based on the statistical analysis of the simulation results. | 01-01-2009 |
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| 20080229480 | Heat deflector for use with a hood-type hair dryer - An air flow deflector for use with a hood-type hair dryer is a thick, resiliently compressible, unitary halo with an inner perimeter of length suited to surround and abut, preferably with tension, against the subject's head when the halo's inner perimeter is contoured approximately immediately below the subject's hair line. The halo deflects the flow of warm air away from exposed skin portions of the head, neck and shoulders and has an arcuate upturned extension on its front portion for deflecting air flow back to the interior of the hood of the dryer. In use, the halo is slid downwardly against tension over the top of the head of the subject to a position at least below the hairline and preferably resting around the neck and on the shoulders of the subject. After setting, the halo is slid upwardly and contoured to approximately immediately below the subject's hairline. | 09-25-2008 |
| 20080229607 | Heat deflector for use with a hood-type hair dryer - An air flow deflector for use with a hood-type hair dryer is a thick, resiliently compressible, unitary halo with an inner perimeter of length suited to surround and abut, preferably with tension, against the subject's head when the halo's inner perimeter is contoured approximately immediately below the subject's hair line. The halo deflects the flow of warm air away from exposed skin portions of the head, neck and shoulders. An arcuate upturned extension on its front portion deflects air flow back to the interior of the hood of the dryer. The unitary halo may be continuous or split for adjustability and hinged for increased manipulability. | 09-25-2008 |
