15-06-2012, 02:26 PM
Multi Language Speech Recognition
Multi Language Speech Recognition.ppt (Size: 89 KB / Downloads: 26)
INTRODUCTION
speech recognition systems are very useful and can be used for various processes. The degree of usefulness of these systems depends on what function we are trying to streamline through the available features of speech recognition systems. Some are very common and are used in our day to day lives and some of us do not even realize it. There are also more advanced, robust systems that are capable of some
inconceivable things .
Multilingual speech processing (MLSP)
Multilingual speech processing (MLSP) is a distinct field of research in speech and language Technology that combines many of the techniques developed for mono lingual systems with new approaches that address specific challenges of the multilingual domain.
What is Speech processing?
Speech processing is the study of speech signals and the processing methods of these signals.
The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of DSP, applied to speech signal.
Speaker Dependence
Speaker dependent systems are designed around a specific speaker. They generally are more accurate
for the correct speaker, but much less accurate for other speakers. They assume the speaker will
speak in a consistent voice and tempo. Speaker independent systems are designed for a variety of
speakers. Adaptive systems usually start as speaker independent systems and utilize training
techniques to adapt to the speaker to increase their recognition accuracy.
Vocabularies
Vocabularies (or dictionaries) are lists of words or utterances that can be recognized by the SR system. Generally, smaller vocabularies are easier for a computer to recognize, while larger vocabularies are more difficult. Unlike normal dictionaries, each entry doesn't have to be a single word. They can be as long as a sentence or two. Smaller vocabularies can have as few as 1 or 2 recognized utterances (e.g." Wake Up"), while very large vocabularies can have a hundred thousand or more
Accuract
The ability of a recognizer can be examined by measuring its accuracy − or how well it recognizes
utterances. This includes not only correctly identifying an utterance but also identifying if the spoken utterance is not in its vocabulary. Good ASR systems have an accuracy of 98% or more! The acceptable accuracy of a system really depends on the application.
Features of Speech Recognition
Systems
There are so many features of speech recognition systems. This
useful interface, allows users/callers to interface with a system that runs
on voice commands. Basically, you would be either speaking on the phone
with a system that processes commands when spoken to. There are also
features of speech recognition systems that work with computers to
allow a user to speak commands to the computer screen.
Speaker recognition systems are different and commonly mistaken
for speech recognition. Speaker recognition is a security system to allow
users to gain access to computer systems. If the computer recognizes
the user, by their speech, it gives access to the given system that is
being protected