Speech recognition

Speech Recognition with Hardware NNWs
Sensory Inc has specialized in NNW chips for speech recognition.
The chips cost less than $5 and nearly one million have been sold (Wall Street Journal Feb.12,1998).

Speech recognition
Speech recognition technologies allow computers equipped with microphones to interpret human speech, e.g. for transcription or as a control method.

Speech recognition is a multileveled pattern recognition task, in which acoustical signals are examined and structured into a hierarchy of subword units (e.g., phonemes), words, phrases, and sentences.

Speech recognition remains a daunting challenge for computer programmers partly because the continuous speech stream is highly under-determined.

[Ã-] Speech recognition software (14 P)
Pages in category "Speech recognition"
The following 86 pages are in this category, out of 86 total. This list may not reflect recent changes (learn more).

Homemade Speech Recognition with .NETcf
By Casey Chesnut
this article will explain the steps i took to do speech recognition using the Compact Framework. this is entirely from scratch ... it is not using any 3rd party speech recognition APIs. i.e.

speech recognition In the 1990s, computer speech recognition reached a practical level for limited purposes.

Speech Recognition
The ability of a computer to understand spoken words for the purpose of receiving commands and data input from the speaker.
For More Info on Speech Recognition
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Speech recognition
In the last decades, the large data collections of spoken and written language has opened new opportunities for the speech and language communities,but it also implied a challenge, ...

10 Speech Recognition: Advanced Topics
10.1 Multipass Decoding: N-best Lists and Lattices
10.2 A* ('Stack') Decoding ...

speech recognition or optical character recognition
natural language processing
bioinformatics and genomics ...

speech recognition
isolated-word recognition
continuous-speech recognition --- Reddy's HEARSAY II (1975)
pattern recognition ...

Speech Recognition Using Neural Networks. By John-Paul Hosom, Ron Cole, and Mark Fanty at the Center for Spoken Language Understanding, Oregon Graduate Institute of Science and Technology. "There are four basic steps to performing recognition. ...

Continuous speech recognition programs that accurately turn speech into text
Software to manage information for individuals, finding just the documents immediately needed from amongst million of documents, and automatically summarizing documents ...

Hearsay is a speech recognition system that is about 90% accurate. The specialisms for Hearsay are also illustrated below.TEIRESIAS
...

vision
audition speech recognition
speech generation
Neurobiology: Modelling models of how the brain works.

In November 2003, he engaged in a four-game match against the computer program X3D Fritz (which was said to have an estimated rating of 2807)[citation needed], using a virtual board, 3D glasses and a speech recognition system.

All Power Macintoshes come with Speech Recognition. That's right- you tell the computer to do what you want without it having to learn your voice.

The challenge of automatic speech recognition (ASR) stands at the forefront of computer and cognitive science as one of the more difficult yet promising problems of our time.

a question-answering system or a speech recognition system) or hardware (e.g. a mobile robot).
Equipment may be used either standalone or in conjunction with telephone, satellite link, Internet link etc. as competitors prefer.

Hidden Markov models are used in speech recognition. Suppose that we have a set W of words and a separate training set for each word. Build an HMM for each word using the associated training set.

Researchers tend to specialize in only one small area of humanoid robotic operation such as speech recognition, visual perception, or mobility, each of which is a highly technical, complex discipline in itself.

The first of these were in visual pattern recognition and speech recognition. In addition, recent programs for text-to-speech have utilized ANNs. Many handwriting analysis programs (such as those used in popular PDAs) are powered by ANNs. ...

"Speaker Adaptation using Constrained Estimation of Gaussian Mixtures" (Digalakis, Rtischev, & Neumeyer, IEEE Trans Speech and Audio 3(5), 1995, pp357--366)
"Maximum Likelihood Linear Transformations For HMM-Based Speech Recognition" ...

See also: Artificial intelligence, AI, Knowledge, Demon, Robotics