Computer Speech : Recognition, Compression, Synthesis

Turing's influence on the evolution of Kilburn's design for the Baby machine was in fact considerable. In December 1947 Kilburn described a 'hypothetical' machine, in a report to TRE dated 1 December. The hypothetical machine, he said, had 'the sole purpose of demonstrating the function of the storage system'.In Kilburn's hypothetical machine, each of the machine's elementary arithmetical and logical operations is implemented by a separate hardware unit or 'destination'; each of these units is numbered and the numbers are referred to by Kilburn as 'destination numbers'. Each instruction, Kilburn explained, transferred a number 'from one part of the machine—a "source"—to another—a "destination"'. An instruction consisted of two numbers, a source number s and a destination number d, which control a source tree and a destination tree respectively. In Kilburn's design, as in Version V of the ACE, instructions contained no 'operation code' (an operation code is the code-name of a operation, for example addition). The operation that was to be performed was implied by the destination number. The source tree accesses the number with address s in the main memory, and the destination tree accesses the destination, which is to say accesses the unit that will perform the required operation, e.g. the adder. Each operand is routed from the main memory via the source tree to the destination tree. There was no central accumulator, and everything was very different from the centralised design being promulgated by von Neumann in the United States.

Speech recognition reduces the overhead caused by alternate communication methods.

The prize for developing a successful speech recognition technology isenormous. Speech is the quickest and most efficient way for humans tocommunicate. Speech recognition has the potential of replacing writing,typing, keyboard entry, and the electronic control provided by switches andknobs. It just needs to work a little better to become accepted by thecommercial marketplace. Progress in speech recognition will likely come fromthe areas of artificial intelligence and neural networks as much as through DSPitself. Don't think of this as a technical ; think of it as a technical .

Computer Speech Recognition Compression Synthesis

Speech recognition is done via the Internet, connecting to Google's server.

In 1944, von Neumann joined the Eckert-Mauchly ENIAC group at the Moore School of Electrical Engineering at the University of Pennsylvania. (At that time he was involved in the Manhattan Project at Los Alamos, where roomfuls of clerks armed with desk calculating machines were struggling to carry out the massive calculations required by the physicists.) ENIAC—which had been under construction since 1943—was, as mentioned above, not a stored-program computer; instead programming consisted of re-routing cables and setting switches. Moreover, the ENIAC was far from universal, having been designed with only one very specific task in mind, the calculation of trajectories of artillery shells.


IEEE Geoscience and remote Sensing Symposium, volume: 6, pp.3970-3972, 2003.
[10] Hyeran Byun and Seong-Whan Lee., Application of Support Vector machines for PatternRecognition: A Survey", SVM 2002, LNCS 2388, pp.213-236, 2002.

Computer Science and Engineering (CSE) Courses

Delp, "An automatic face detection and recognition system for video indexing applications," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Vol.4.

Courses - Department of Computer Science IIT Delhi

T., "Geological Units Classification of Multispectral Images by Using Support Vector Machines", International Conference on Intelligent Networking and Collaborative Systems, pp.267-272, 2009.
[7] Sun, B.