Automatic Speech Recognition | The Transformation of the Speech Signal into a Text Stream

Speech recognition aim is to remove a mediator in human-computer communication. Control of the machine by voice in real time mode, as well as input of information by human speech will simplify considerably life of a modern man.
Oct. 6, 2011 - PRLog -- Applications

Today systems of automatic speech recognition are widely used in various fields of human activity.

The most obvious application of continuous speech recognition consists in the creation of automatic transcription systems, which can substitute secretaries (dictating via voice texts of letters, notes and reports). This solution allows reducing expenses due to reduction of stenographer’s work, and also increases the degree of data confidentiality. At the moment, such systems are better implemented for English (though with a lot of limitations on the application), the recognition system of continuous Russian speech are under active development.

It is known how inconvenient and dangerous to use mobile phones with the usual (tactile) way of dialing while driving. Many countries adopt laws which banning drivers to use such telephones in order to reduce the number of accidents. Therefore, more and more people are interested in mobile phones with voice dialing, releasing users from the need to dial the number manually. It’s enough to say the caller's name and the connection will happen automatically. In these phones all functional and digital keys are also replaced by voice commands; using such phones while driving is more secure than common mobile phones and even mobile phones with a hands-free headset. Audio control systems are already being used in some brands of cars. Car owner gives voice commands of temperature conditions control, radio, navigation system, which perceive the voice and execute any commands (link to DIVO and VoiceCommander).

Automatic speech recognition system is used extensively in call-centers. Typically, such systems are known as IVR-Systems (Interactive Voice Response). IVR-systems can automate the dialog with the client, as the result there’s no need to hire a huge number of operators taking telephone calls, i.e. reducing of staff costs. In addition, customer service is improved; cause the connection with the machine is performed almost immediately, relieving customers from long waiting. IVR-system allows to choice menus via voice commands instead of tone dialing, which greatly simplifies operation with clients. In order to obtain necessary information, the subscriber has no need to listen to the end of the whole range of offered services. Got through, a person can get to any menu level, saying only one sentence, it saves time. Today, many large companies have already switched to IVR-systems.

Speech recognition system offers such opportunities that were unavailable when using tone dialing. For example, for the service of booking tickets over the phone: the number of cities is so vast that the tone menu is unrealistic. At the same time, the speech recognition system is able to provide the most natural communication.

Video games with voice-controlled characters, dictionaries and translators from voice to voice, complex systems of human-computer dialogue are developed on speech recognition basis.

We have presented only some examples of using the automatic speech recognition technology, in fact, there are many more.

Use in products

Voice com

Phone com

For more details visit us at

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Speech Technology Ltd. designs and develops science intensive software for recording, processing and analysis of speech data. Our products make it possible to recognize speech, change voice and speech rate, implement voice biometrics, analyze audio/video data and many others. Our solutions are warning systems, stenographing systems, audio editors, video surveillance systems and many others. Our team of developers is professionals in the range of implementation of cross-platform applications from mobile devices to server stations. Detailed information is on our web site:
Source:speech technology
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Tags:Automatic Speech Recognition, Voice Recognition, Transcription Systems, Voice Command, Speech Recognition
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