8217; for person-to-person calls (7, p.490). For this application, the speech recognition system must be speaker independent and capable of recognising and spotting the five key words mentioned above in a speech sample (2, p.52). The problem in this application is the high amount of background noise since pay phones are usually available in public places, however, this problem can be solved using appropriate speech recognition systems (low-level speakers, etc.)(2, p.52). Data EntryEntering data using speech recognition is very practical when performing a manual task (6, p.102). A speech recognition system for this application is highly complex and structured since it should contain a large vocabulary. For data entry, speaker-dependent or speaker-independent speech recognition systems are available even though speaker-independent systems perform better than speaker-dependent systems. They are also available for discrete or continuous speech (6, p.102). Data entry applications are still limited since the performance of speech recognition systems in this field is still limited.Future applications using automatic speech recognition systemsWith the increasing performance of automatic speech recognition systems, companies are more interested in integrating speech recognition systems in their products. Car manufacturers are interested in replacing all the levers, knobs, and buttons by a speech recognition system capable of doing everything, from raising temperature to locking doors and turning on the radio (5, p.49). In this way, the electronic content of the car is increased whereas the mechanical is reduced. This makes the car easier to design and build, therefore costing less (5, p.49). Others think of applying speech recognition systems in kitchen appliances such as dishwashers, ovens, refrigerators. Air-conditioners might some day be voice controlled (5, p.49). ConclusionThe gradual but inevitable development...
