Automatic Speech Recognition (ASR) has progressed considerably over
the past several decades, but still has not achieved the potential
imagined at its very beginning. Almost all of the existing
applications of ASR systems are PC based. This work is an attempt
to develop a speech recognition system that is independent of any
PC support and is small enough in size to be used in a daily use
consumer appliance. The proposed system would recognize isolated
word utterances from a limited vocabulary, provide speaker
independence, require less memory and be cost-efficient compared to
present ASR systems. In this system, isolated word recognition is
performed by using Vector Quantization (VQ) and Mel-Frequency
Cepstral Coefficient (MFCe. The final system has been implemented
on a vero board with an ATMEGA32 microcontroller. Learning and
recognition algorithm have been used to recognize the speech
utterances.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!