30-03-2011, 03:40 PM
[attachment=11350]
-: SPEECH RECOGNITION :-
Introduction
One don’t have to be a scientist to know that the computer of the future will talk, listen and understand. One of them is the Apple Macintosh of today. Apple’s Speech Recognition and Speech Synthesis Technologies now give speech-savvy applications the power to carry out your voice commands and even speak back to you in plain English.
Apple Speech Recognition lets the system (Macintosh) understand what you say, giving you a new dimension for interacting with and controlling your computer by voice. You don’t even have to train it to understand your voice, because it already understands you, from your very first word. You can speak naturally, without pausing or stopping. Apple’s leadership in speech recognition technology makes it possible by bringing a whole new dimension to the user interface: speech. Combined with Voice-Over, speech synthesis will help turn the graphical user interface into a vocal user interface.
Speech recognition (in many contexts also known as 'automatic speech recognition', computer speech recognition or erroneously as Voice Recognition) is the process of converting a speech signal to a sequence of words, by means of an algorithm implemented as a computer program. Speech recognition applications that have emerged over the last years include voice dialing (e.g., Call home), call routing (e.g., I would like to make a collect call), simple data entry (e.g., entering a credit card number), and preparation of structured documents (e.g., a radiology report).
Voice Verification or speaker recognition is a related process that attempts to identify the person speaking, as opposed to what is being said.
Speech Technology Development at IBM:
The overall view, with emphasis on Via-Scribe and Accessibility
Speech technologies – development, deployments
Speech Analytics: Automated Quality Assurance Application
• Monitor 100% of calls
• Download recorded calls daily from across North America
• Answer questions and assign default ratings
• Provide a ranked list to human monitors to focus on bad calls
Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words. The recognized words can be the final results, as for applications such as commands & control, data entry, and document preparation. They can also serve as the input to further linguistic processing in order to achieve speech understanding.
An isolated-word speech recognition system requires that the speaker pause briefly between words, whereas a continuous speech recognition system does not. Spontaneous, or extemporaneously generated, speech contains disfluencies, and is much more difficult to recognize than speech read from script. Some systems require speaker enrollment---a user must provide samples of his or her speech before using them, whereas other systems are said to be speaker-independent, in that no enrollment is necessary. Some of the other parameters depend on the specific task. Recognition is generally more difficult when vocabularies are large or have many similar-sounding words. When speech is produced in a sequence of words, language models or artificial grammars are used to restrict the combination of words.
Speech recognition is a technology that is constantly evolving. It is a technology that is experiencing tremendous growth in the commercial market, apart from its original niche as an assistive technology product. There are presently three major companies with speech recognition products, Dragon Systems, Lernout & Hauspie (L&H), and IBM. Stiff competition between these companies and more demand from consumer and business markets, has led to a tremendous drop in prices over the last few years. Competition has also fueled the development of a plethora of new products. Each company has several products available, ranging in price, features, and the applications that they support. This paper seeks to make sense of the overwhelming array of products so that persons who are shopping for speech recognition will have a better understanding of their choices.
What are the Types of Speech Recognition?
*Discrete
• Slower dictation process - better for persons with difficulty in language processing or in fluid speech
• Word-by-word style, rather than phrases, reflects the way beginning writers form sentences
*Continuous
• Processes speech by phrase
• Takes context into account
• Is less accurate if phrases are interrupted
• Advantages: Speed and accuracy (for most users)
Who Can Benefit from Speech Recognition?
• Persons with mobility impairments or injuries that prevent keyboard access
• Persons who have or who are seeking to prevent repetitive stress injuries
• Persons with writing difficulties
• Any person who want hands-free access to the computer
• Any persons who wants to increase their typing speed
(reportedly up to 160 wpm)
What is Required to Use Speech Recognition?
• A Powerful Computer
• Consistent Speech (not necessarily intelligible)
• Fluid speech (i.e., not pausing between words) desirable for use of continuous speech products
• Patience
• Basic knowledge of computers
• Fairly high cognitive ability
Applications of speech recognition
• Command recognition - Voice user interface with the computer
• Dictation
• Interactive Voice Response
• Automotive speech recognition
• Medical Transcription
• Pronunciation Teaching in computer-aided language learning applications
• Automatic Translation
• Hands-free computing
Presented by:
Mr. Sibananda Panda
[attachment=11351]
The Computer of the Future will TALK, LISTEN and UNDERSTAND.
One of them is the Apple Macintosh of today. Apple’s Speech Recognition and Speech Synthesis Technologies now give speech-savvy applications the power to carry out your voice commands and even speak back to you in plain English.
You don’t even have to train it to understand your voice, because it already understands you, from your very first word.. You can speak naturally
DEFINATION
Speech recognition is the process of converting a speech signal to a sequence of words, by means of an algorithm implemented as a computer program.
Voice Verification or speaker recognition is a related process that attempts to identify the person speaking, as opposed to what is being said.
IBM SPEECH RECOGNITION SYSTEM
Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words.
• The recognized words can be the final results, as for applications such as commands & control, data entry, and document preparation.
• They can also serve as the input to further linguistic processing in order to achieve speech understanding.
• Persons with mobility impairments or injuries that prevent keyboard access
• Persons who have or who are seeking to prevent repetitive stress injuries
• Persons with writing difficulties
• Any person who want hands-free access to the computer
• Any persons who wants to increase their typing speed
(reportedly up to 160 wpm)
• A Powerful Computer
• Consistent Speech (not necessarily intelligible)
• Fluid speech (i.e., not pausing between words) desirable for use of continuous speech products
• Patience
• Basic knowledge of computers
• Fairly high cognitive ability
Applications of Speech Recognition
• Command recognition - Voice user interface with the computer
• Dictation
• Interactive Voice Response
• Automotive speech recognition
• Medical Transcription
• Pronunciation Teaching in computer-aided language learning applications
• Automatic Translation
• Hands-free computing
What are the Types of Speech Recognition?
u Discrete
• Slower dictation process - better for persons with difficulty in language processing or in fluid speech
• Word-by-word style, rather than phrases, reflects the way beginning writers form sentences
v Continuous
• Processes speech by phrase
• Takes context into account
• Is less accurate if phrases are interrupted
• Advantages: Speed and accuracy (for most users)
SPEECH ANALYSIS
Environmental noise, room acoustics and a speaker’s physical and psychological conditions play an important role in determination.
Ex. let’s assume extremely bad individual words recognition with a probability of 0.95. This means that 5% of the words are incorrectly recognized. If we have a sentence with 3 words, the probability of recognizing the sentence correctly is 0.95 × 0.95 × 0.95 = 0.857.
Speech Recognition System
Components of speech recognition & understanding.
Speech Recognition Research
• Room acoustic with existent environmental noise. Overlapping of the primary sound wave.
• Word boundary must be determined.
• During comparison time normalization is necessary. The same word can be spoken quickly or slowly
Speaker –independent & Speaker-dependent
Recognition System.
• A speaker-independent system can recognize with the same reliability essentially fewer words than a speaker- dependent system because the latter is TRAINED IN ADVANCE. Training in advance means that there exists a training phase for the speech recognition system, which takes a half an hour.
• Speaker-dependent recognition system can recognize around 25,000 words, Speaker-independent recognition system can recognize around 500 words but with a worse recognition rate .
The major players in the speech recognition market are Dragon Systems, Lernout & Hauspie (L&H), and IBM.
• Dragon’s original product, Dragon Dictate, is currently the only product that uses the discrete speech model
• The current L&H product line, called VoiceXpress, includes a Standard, Advanced, and Professional edition.
• IBM has been a major player in speech recognition for many years. Its discrete speech product, IBM Voice Type, IBM has discontinued this product and is now focusing all its efforts on developing continuous speech products. Its current product line, IBM Via Voice Millenium, includes a Standard, Web and Professional edition. The web edition features natural language commands for Internet Explorer, Netscape Communicator and America Online.
-: SPEECH RECOGNITION :-
Introduction
One don’t have to be a scientist to know that the computer of the future will talk, listen and understand. One of them is the Apple Macintosh of today. Apple’s Speech Recognition and Speech Synthesis Technologies now give speech-savvy applications the power to carry out your voice commands and even speak back to you in plain English.
Apple Speech Recognition lets the system (Macintosh) understand what you say, giving you a new dimension for interacting with and controlling your computer by voice. You don’t even have to train it to understand your voice, because it already understands you, from your very first word. You can speak naturally, without pausing or stopping. Apple’s leadership in speech recognition technology makes it possible by bringing a whole new dimension to the user interface: speech. Combined with Voice-Over, speech synthesis will help turn the graphical user interface into a vocal user interface.
Speech recognition (in many contexts also known as 'automatic speech recognition', computer speech recognition or erroneously as Voice Recognition) is the process of converting a speech signal to a sequence of words, by means of an algorithm implemented as a computer program. Speech recognition applications that have emerged over the last years include voice dialing (e.g., Call home), call routing (e.g., I would like to make a collect call), simple data entry (e.g., entering a credit card number), and preparation of structured documents (e.g., a radiology report).
Voice Verification or speaker recognition is a related process that attempts to identify the person speaking, as opposed to what is being said.
Speech Technology Development at IBM:
The overall view, with emphasis on Via-Scribe and Accessibility
Speech technologies – development, deployments
Speech Analytics: Automated Quality Assurance Application
• Monitor 100% of calls
• Download recorded calls daily from across North America
• Answer questions and assign default ratings
• Provide a ranked list to human monitors to focus on bad calls
Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words. The recognized words can be the final results, as for applications such as commands & control, data entry, and document preparation. They can also serve as the input to further linguistic processing in order to achieve speech understanding.
An isolated-word speech recognition system requires that the speaker pause briefly between words, whereas a continuous speech recognition system does not. Spontaneous, or extemporaneously generated, speech contains disfluencies, and is much more difficult to recognize than speech read from script. Some systems require speaker enrollment---a user must provide samples of his or her speech before using them, whereas other systems are said to be speaker-independent, in that no enrollment is necessary. Some of the other parameters depend on the specific task. Recognition is generally more difficult when vocabularies are large or have many similar-sounding words. When speech is produced in a sequence of words, language models or artificial grammars are used to restrict the combination of words.
Speech recognition is a technology that is constantly evolving. It is a technology that is experiencing tremendous growth in the commercial market, apart from its original niche as an assistive technology product. There are presently three major companies with speech recognition products, Dragon Systems, Lernout & Hauspie (L&H), and IBM. Stiff competition between these companies and more demand from consumer and business markets, has led to a tremendous drop in prices over the last few years. Competition has also fueled the development of a plethora of new products. Each company has several products available, ranging in price, features, and the applications that they support. This paper seeks to make sense of the overwhelming array of products so that persons who are shopping for speech recognition will have a better understanding of their choices.
What are the Types of Speech Recognition?
*Discrete
• Slower dictation process - better for persons with difficulty in language processing or in fluid speech
• Word-by-word style, rather than phrases, reflects the way beginning writers form sentences
*Continuous
• Processes speech by phrase
• Takes context into account
• Is less accurate if phrases are interrupted
• Advantages: Speed and accuracy (for most users)
Who Can Benefit from Speech Recognition?
• Persons with mobility impairments or injuries that prevent keyboard access
• Persons who have or who are seeking to prevent repetitive stress injuries
• Persons with writing difficulties
• Any person who want hands-free access to the computer
• Any persons who wants to increase their typing speed
(reportedly up to 160 wpm)
What is Required to Use Speech Recognition?
• A Powerful Computer
• Consistent Speech (not necessarily intelligible)
• Fluid speech (i.e., not pausing between words) desirable for use of continuous speech products
• Patience
• Basic knowledge of computers
• Fairly high cognitive ability
Applications of speech recognition
• Command recognition - Voice user interface with the computer
• Dictation
• Interactive Voice Response
• Automotive speech recognition
• Medical Transcription
• Pronunciation Teaching in computer-aided language learning applications
• Automatic Translation
• Hands-free computing
Presented by:
Mr. Sibananda Panda
[attachment=11351]
The Computer of the Future will TALK, LISTEN and UNDERSTAND.
One of them is the Apple Macintosh of today. Apple’s Speech Recognition and Speech Synthesis Technologies now give speech-savvy applications the power to carry out your voice commands and even speak back to you in plain English.
You don’t even have to train it to understand your voice, because it already understands you, from your very first word.. You can speak naturally
DEFINATION
Speech recognition is the process of converting a speech signal to a sequence of words, by means of an algorithm implemented as a computer program.
Voice Verification or speaker recognition is a related process that attempts to identify the person speaking, as opposed to what is being said.
IBM SPEECH RECOGNITION SYSTEM
Speech recognition is the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words.
• The recognized words can be the final results, as for applications such as commands & control, data entry, and document preparation.
• They can also serve as the input to further linguistic processing in order to achieve speech understanding.
• Persons with mobility impairments or injuries that prevent keyboard access
• Persons who have or who are seeking to prevent repetitive stress injuries
• Persons with writing difficulties
• Any person who want hands-free access to the computer
• Any persons who wants to increase their typing speed
(reportedly up to 160 wpm)
• A Powerful Computer
• Consistent Speech (not necessarily intelligible)
• Fluid speech (i.e., not pausing between words) desirable for use of continuous speech products
• Patience
• Basic knowledge of computers
• Fairly high cognitive ability
Applications of Speech Recognition
• Command recognition - Voice user interface with the computer
• Dictation
• Interactive Voice Response
• Automotive speech recognition
• Medical Transcription
• Pronunciation Teaching in computer-aided language learning applications
• Automatic Translation
• Hands-free computing
What are the Types of Speech Recognition?
u Discrete
• Slower dictation process - better for persons with difficulty in language processing or in fluid speech
• Word-by-word style, rather than phrases, reflects the way beginning writers form sentences
v Continuous
• Processes speech by phrase
• Takes context into account
• Is less accurate if phrases are interrupted
• Advantages: Speed and accuracy (for most users)
SPEECH ANALYSIS
Environmental noise, room acoustics and a speaker’s physical and psychological conditions play an important role in determination.
Ex. let’s assume extremely bad individual words recognition with a probability of 0.95. This means that 5% of the words are incorrectly recognized. If we have a sentence with 3 words, the probability of recognizing the sentence correctly is 0.95 × 0.95 × 0.95 = 0.857.
Speech Recognition System
Components of speech recognition & understanding.
Speech Recognition Research
• Room acoustic with existent environmental noise. Overlapping of the primary sound wave.
• Word boundary must be determined.
• During comparison time normalization is necessary. The same word can be spoken quickly or slowly
Speaker –independent & Speaker-dependent
Recognition System.
• A speaker-independent system can recognize with the same reliability essentially fewer words than a speaker- dependent system because the latter is TRAINED IN ADVANCE. Training in advance means that there exists a training phase for the speech recognition system, which takes a half an hour.
• Speaker-dependent recognition system can recognize around 25,000 words, Speaker-independent recognition system can recognize around 500 words but with a worse recognition rate .
The major players in the speech recognition market are Dragon Systems, Lernout & Hauspie (L&H), and IBM.
• Dragon’s original product, Dragon Dictate, is currently the only product that uses the discrete speech model
• The current L&H product line, called VoiceXpress, includes a Standard, Advanced, and Professional edition.
• IBM has been a major player in speech recognition for many years. Its discrete speech product, IBM Voice Type, IBM has discontinued this product and is now focusing all its efforts on developing continuous speech products. Its current product line, IBM Via Voice Millenium, includes a Standard, Web and Professional edition. The web edition features natural language commands for Internet Explorer, Netscape Communicator and America Online.
