The patent's assignee is
News editors obtained the following quote from the background information supplied by the inventors: "Embodiments of the present invention generally relate to data pattern recognition. More particular, embodiments of the present invention relate to a phoneme score accelerator for data pattern recognition.
"Real-time data pattern recognition is increasingly used to analyze data streams in electronic systems. For example, on a vocabulary with over tens of thousands of words, speech recognition systems have achieved improved accuracy, making it an attractive feature for electronic systems. Speech recognition systems are increasingly common in consumer markets targeted to data pattern recognition applications such as, for example, the mobile device, server, automobile, and PC markets.
"Despite the improved accuracy in speech recognition systems, significant computing resources are dedicated to the speech recognition process, in turn placing a significant load on computing systems such as, for example, multiuser/multiprogramming environments. Multiprogramming computing systems concurrently process data from various applications and, as a result, the load placed on these computing systems by the speech recognition process affects the speed at which the computing systems can process incoming voice signals as well as data from other applications. Further, for handheld devices that typically include limited memory resources (as compared to desktop computing systems), speech recognition applications not only place significant load on the handheld device's computing resources but also consume a significant portion of the handheld device's memory resources. The above speech recognition system issues of processing capability, speed, and memory resources are further exacerbated by the need to process incoming voice signals in real-time or substantially close to real-time."
As a supplement to the background information on this patent application, VerticalNews correspondents also obtained the inventors' summary information for this patent application: "Therefore, there is a need to improve the load that speech recognition systems place on the processing capability, speed, and memory resources of computing systems.
"An embodiment of the present invention includes a data storage device. The data storage device can include a first memory device, a second memory device, and a processing device. The first memory device is configured to store one or more data elements. The second memory device is configured to store one or more status bits at one or more respective table indices. In addition, each of the table indices is mapped to a corresponding table index in the first memory device. The processing device is configured to calculate one or more hash values based on the one or more data elements.
"Another embodiment of the present invention includes a method for storing data. The method can include the following: hashing a first data to generate a table index and reading a valid bit at the table index of a first memory device. The valid bit indicates whether a table entry at a corresponding table index of a second memory device is valid.
"Further features and advantages of the invention, as well as the structure and operation of various embodiments of the present invention, are described in detail below with reference to the accompanying drawings. It is noted that the invention is not limited to the specific embodiments described herein. Such embodiments are presented herein for illustrative purposes only. Additional embodiments will be apparent to persons skilled in the relevant art based on the teachings contained herein.
BRIEF DESCRIPTION OF THE DRAWINGS
"The accompanying drawings, which are incorporated herein and form a part of the specification, illustrate embodiments of the present invention and, together with the description, further serve to explain the principles of the invention and to enable a person skilled in the relevant art to make and use the invention.
"FIG. 1 is an illustration of an exemplary flowchart of a speech recognition process according to an embodiment of the present invention.
"FIG. 2 is an illustration of a conventional speech recognition system.
"FIG. 3 is an illustration of a conventional speech recognition system with speech recognition processes performed by an individual processing unit.
"FIG. 4 is an illustration of an embodiment of speech recognition processes performed by an Acoustic Co-Processor (ACP) and a Central Processing Unit (CPU).
"FIG. 5 is an illustration of an embodiment of an Acoustic Co-Processor (ACP).
"FIG. 6 is an illustration of an embodiment of a memory module in an Acoustic Co-Processor (ACP).
"FIG. 7 is an illustration of an embodiment of a Hidden Markov Model (HMM) module in an Acoustic Co-Processor (ACP).
"FIG. 8 is an illustration of an embodiment of a method for acoustic signal processing.
"FIG. 9 is an illustration of an embodiment of a hash table.
"FIG. 10 is an illustration of an embodiment of a hash table search process.
"FIG. 11 is an illustration of an embodiment of a hash table insertion process.
"FIG. 12 is an illustration of an embodiment of a hash table residual active process.
"FIG. 13 is an illustration of an example computer system in which embodiments of the present invention, or portions thereof, can be implemented as computer readable code."
For additional information on this patent application, see: Fastow, Richard M.; Bapat, Ojas A. Hybrid Hashing Scheme for Active HMMS. Filed
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