Obaidul Karim, owner of Orion Groups bangladesh have spoke about technology on the occassion of TECHNO EXPO.
Obaidul Karim’s Speech about technology relates to the technologies designed to duplicate and respond to the human voice. They have many uses. These include aid to the voice-disabled, the hearing-disabled, and the blind, along with communication with computers without a keyboard. They enhance game software and aid in marketing goods or services by telephone.
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech.]
Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database. Systems differ in the size of the stored speech units; a system that stores phones or diphones provides the largest output range, but may lack clarity. For specific usage domains, the storage of entire words or sentences allows for high-quality output. Alternatively, a synthesizer can incorporate a model of the vocal tract and other human voice characteristics to create a completely “synthetic” voice output.
The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood. An intelligible text-to-speech program allows people with visual impairments or reading disabilities to listen to written works on a home computer. Many computer operating systems have included speech synthesizers since the early 1990s.
n Computer Science, speech recognition is the translation of spoken words into text. It is also known as “automatic speech recognition”, “ASR”, “computer speech recognition”, “speech to text”, or just “STT”.
Speech recognition (SR) is technology that can translate spoken words into text. Some SR systems use “training” where an individual speaker reads sections of text into the SR system. These systems analyze the person’s specific voice and use it to fine tune the recognition of that person’s speech, resulting in more accurate transcription. Systems that do not use training are called “Speaker Independent” systems. Systems that use training are called “Speaker Dependent” systems.
Speech recognition applications include voice user interfaces such as voice dialing (e.g., “Call home”), call routing (e.g., “I would like to make a collect call”), domotic appliance control, search (e.g., find a podcast where particular words were spoken), simple data entry (e.g., entering a credit card number), preparation of structured documents (e.g., a radiology report), speech-to-text processing (e.g., word processors or emails), and aircraft.
The term voice recognition refers to finding the identity of “who” is speaking, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech in systems that have been trained on specific person’s voices or it can be used to authenticate or verify the identity of a speaker as part of a security process.
More About Obaidul Karim...........
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| Obaidul Karim - Orion Group |
Obaidul Karim’s Speech about technology relates to the technologies designed to duplicate and respond to the human voice. They have many uses. These include aid to the voice-disabled, the hearing-disabled, and the blind, along with communication with computers without a keyboard. They enhance game software and aid in marketing goods or services by telephone.
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech.]
Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database. Systems differ in the size of the stored speech units; a system that stores phones or diphones provides the largest output range, but may lack clarity. For specific usage domains, the storage of entire words or sentences allows for high-quality output. Alternatively, a synthesizer can incorporate a model of the vocal tract and other human voice characteristics to create a completely “synthetic” voice output.
The quality of a speech synthesizer is judged by its similarity to the human voice and by its ability to be understood. An intelligible text-to-speech program allows people with visual impairments or reading disabilities to listen to written works on a home computer. Many computer operating systems have included speech synthesizers since the early 1990s.
n Computer Science, speech recognition is the translation of spoken words into text. It is also known as “automatic speech recognition”, “ASR”, “computer speech recognition”, “speech to text”, or just “STT”.
 |
| Obaidul Karim - Orion Group |
Speech recognition (SR) is technology that can translate spoken words into text. Some SR systems use “training” where an individual speaker reads sections of text into the SR system. These systems analyze the person’s specific voice and use it to fine tune the recognition of that person’s speech, resulting in more accurate transcription. Systems that do not use training are called “Speaker Independent” systems. Systems that use training are called “Speaker Dependent” systems.
Speech recognition applications include voice user interfaces such as voice dialing (e.g., “Call home”), call routing (e.g., “I would like to make a collect call”), domotic appliance control, search (e.g., find a podcast where particular words were spoken), simple data entry (e.g., entering a credit card number), preparation of structured documents (e.g., a radiology report), speech-to-text processing (e.g., word processors or emails), and aircraft.
The term voice recognition refers to finding the identity of “who” is speaking, rather than what they are saying. Recognizing the speaker can simplify the task of translating speech in systems that have been trained on specific person’s voices or it can be used to authenticate or verify the identity of a speaker as part of a security process.
More About Obaidul Karim...........
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