speech recognition

Yet if far from perfect, speech recognition software is good enough to be useful in more ways all the time.

With your custom Sphinx-4 speech recognition and the annotateAcrNum Perl program, you're ready to start annotating spoken conversations.

Though such errors are inevitable, there may be a way to let speech-recognition programs take the pain out of making corrections.

Speech recognition systems that do not require a user to train the system are known as speaker-independent systems.

Unlike speech recognition, voiceprint recognition distinguishes speaker from others by his or her voice, not the meaning by voice.

The accurate pitch analysis and extraction is always one of the most key issue in speech synthesis and speech recognition.

ANN is widely used in speech recognition field due to its self adapting, parallelism, non-linearity, robustness and learning ability.

Above all, we describe the basis of speech recognition theory briefly, and discuss the front-end speech signal preprocessing.

Response rate of recognition is a key factor for a speech recognition system as well as recognition correct rate and noise robust property.

Change speech recognition engines to dictate in another language or to use a third-party engine.

So continuous speech recognition in noisy environment is always the hot spot and the difficult spot of the speech signal research.

Experimental results on continuous speech recognition show significant improvement can be obtained using resulting pronunciation dictionary.

Our mission is to help people learn English with the best speech recognition technology.

In Voice Command mode, you'll see the name of the last recognized command you said using speech recognition.

If you used your mouse or keyboard instead of speech recognition, you'll see the name of the command you could say.

Test results show that the system architecture is logically arranged and speech recognition accuracy of the elevator control reaches 80%.

Speech endpoint detection is a paragraph beginning and end speech analysis, speech synthesis and speech recognition of a necessary link.

You can add your company's name to the speech recognition dictionary as well as other words that speech recognition does not recognize.

There is no user selected for speech recognition. Select a user in the settings for your speech recognition program.

There's a clear road map that speech recognition is going to move from niche to pervasive marketplaces.

Speech recognition: the process of converting an acoustic signal, captured by a microphone or a telephone, to a set of words.

I. work. It has been applied to closely related problems like speech recognition and to very different problems like robot navigation.

That said, one of the future elements of what's likely to happen in search is around speech recognition.

The driver for your sound card may cause problems with the Microphone Setup Wizard and speech recognition.

This paper, demonstrating the application of the speech recognition in teaching, makes an analysis on its basic algorithm.

A speech recognition system must expend significant processing to turn your speech into text.

For one, in speech recognition, sequence is essential; get the sounds out of order, and you mess up the words.

The United States, IBM is with a web browser makers of Opera cooperation, create a kind of speech recognition TV equipment.

Uninstall complete. You may wish to uninstall any text-to-speech and speech recognition engines since they will no longer work.

Although this so-called continuous speech-recognition approach has indeed improved accuracy, it is by no means infallible.

No speech recognition engines found on your machine. Close the Microphone Setup wizard and re-install your application.

Speech recognition includes speaker recognition, conjunction word recognition and isolated word recognition.

Embedded speech recognition system research and development, has an important significance and extensive market research applications.

Speech recognition and computer vision technology promote the intelligent human-computer interaction technology continue to develop.

If Dictation mode is not on the Language bar, your current input language (keyboard layout) may not support the speech recognition engine.

Speech recognition is a technology that always seems two to 10 years away from speaker-independent recognition of a large vocabulary.

The software is characterized by filter world-leading technologies of speech synthesis, speech recognition and pronunciation evaluation.

At present, Chinese continuous speech recognition has got a good performance in pure speech environment.

The vocabulary consists of the words to be recognized by the speech recognition engine.

This paper researched the feature extraction, quantification, matching model algorithms of isolated word speech recognition.

It will create a wider space for application of the Speech Recognition system to further develop and optimize the subject.

How quickly did people think speech recognition would be a solved problem.

He sings recorded files in his system and uses speech recognition and facial expressions to interact with his audience.

A robust speech recognition system in high noise environment is introduced and its performance is discussed in this paper.

For each line of speech-recognition text output by the Hello World modified code, build separate arrays of letters and numbers only.

Definitely speech recognition and speech synthesis will be the next big advance.

The conversion from speech recognition to video can be realized through the invention.

Combined with the emotion recognition results, results of speech recognition using DTW and pattern matching arithmetic are improved.

But speech-recognition systems do not necessarily spell the end for manned call centres.

Uses the superior machine, lower position machine plan construction wireless speech recognition monitoring system .

The feat was made possible, in part, by deep-learning techniques that have spurred improvements in the accuracy of speech recognition.

At the Academy, Pajitnov's work involved computer science research like artificial intelligence and speech recognition.

Research on and development of voice control system used in laser-scan have created a new field for the application of Speech Recognition.

Multimodal technology, which includes speech-recognition and speech-synthesis technology, aims to resolve this problem.

The main content of this paper is the perfection of speech recognition under strong noise.

Training your profile may improve your speech recognition accuracy. Refer to Engine documentation for recommended training times.

Therefore, the research of de-noising technology in speech recognition has important theoretical and practical significance.

This thesis is focused on the research topic of noise-robust front-end of automatic speech recognition (ASR).

This system is an effective research to promote the mandarin digit speech recognition to business field.

Therefore, the noise robustness is a very important part of speech recognition research.

The experiment result indicate that the improved training method can obtain better speech recognition effect.

Speech endpoint detection is an important process of speech analysis, speech recognition and speech monitor.

A speaker dependent, isolated word and small vocabulary embedded speech recognition system is designed and implemented.

The invention relates to a method for improving speech recognition rate with gain self-adapting.

People also need deeply research the theory and algorithms of the speech recognition to make practical using of them.

The sound card is being used by another application. It could be playing sound, recording, or using speech recognition.

A novel bilingual model modification approach is presented to improve nonnative speech recognition accuracy.

This parameter specifies whether the user can use Automatic Speech Recognition (ASR) when they log on to their mailbox.

To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.

Will be studied in speech recognition (dynamic time warping) algorithm for voiceprint identification technology.

The Carnegie Mellon University Sphinx project creates open source speech-recognition tools for developers and users.

The Unified Messaging Worker Process has started grammar generation for Automatic Speech Recognition.

The MFCC coefficients and LPCC coefficients are combined as the speech recognition feature extraction parameters.

The system, EmotionSense, uses sensors and speech-recognition software.

Turn off the option to save speech recognition input.

The method offers more practical parameter combination for speech recognition system when its resource is limited.

This will interrupt speech recognition, and your words will not be processed.

A study on speech conversion technology is addressed to improve the telephone speech recognition performance.

Using speech recognition, videos uploaded to YouTube's Politicians Channels are transcribed and indexed.

A method of ambient noise injection for use with speech recognition in a production vehicle is disclosed.

Thesis aims to design an embedded speech recognition system, and to do some research about its promotion and application.

The correct rate of speech recognition will go down severely under changeable strong noise.

However, not all the UM language packs contain support for Automatic Speech Recognition (ASR).

The speech recognition engine does not support the correct grammar format.

A major factor influencing the capability of speech recognition systems is the accuracy of endpoint detection.

At present, the speech recognition technology has been already used widely, hundreds of speech recognition goods are produced every year.

Transformation from text to speech and speech recognition are two key technologies to design an English self-study system.

Remember to turn the microphone off when you are not using speech recognition.

This parameter enables Automatic Speech Recognition (ASR) to be used with the UM mailbox.

The falling costs of processing power and storage capacity have also helped make speech recognition more accurate.

Would you like to hear what you say through the headphones whenever you use speech recognition?

The falling costs of processing power and storage capacity have also helped make speech recognition more accurate.

Speech recognition will continue to process sounds until the microphone is turned off.

Therefore, the speech recognition system has a very high research and practical value.

Acoustic model and speech recognition theory is the basis for building speech recognition systems.

Then select the button you hold for speech recognition and tag all your programs and favorite bookmarks with custom tags.

Companies have worked out ways around many of the problems that befuddled previous speech-recognition technologies.

WwW. zIdiR. coM Speech Recognition is an important technical means for human-computer interaction.

The Vocabulary Builder can add new words from your documents to increase speech recognition accuracy.

Experiment results show that process neural network is used in speech recognition, recognition performance is promoted.

Experiment results show that process neural network is used in speech recognition, recognition performance is promoted.

No speech recognition engine could be found. Try reinstalling your speech recognition program.

In this paper, a speech recognition algorithm is implemented by VC and its recognition ability is tested.

The entire experimental system discusses vertex examination in speech recognition under the noise background.

The core of intelligent telegraphy system is speech recognition technology.

This paper describes a mandarin speech database with non-native accent of Yunnan for speech recognition.

In this paper the spectral subtraction is used to eliminate the additive noise for robust telephone speech recognition.

This argument relies on huge advances in computer translation and speech recognition.

Normal British speakers are required for use to train a language product using speech recognition.

As an alternative to using speech recognition in your voice application, you can use DTMF.

Tags denote actions for creating dialog between a human voice and speech recognition system.

The speech-recognition is letting the computer understand our human being and react rightly.

This project is a basic research in the applications of speech recognition technology.

Our work is mainly on prosody research serving for Speech Recognition and Speech Synthesis.

Mandarin digit speech recognition system has been widely used in different regions in the past decades.

Further, we introduce morphological filtering into speech recognition and propose a new noisy speech recognition method based on morphology.

Therefore, the digital speech recognition system has a highly practical value.

Finally, the speech recognition module software was designed and tested.

Many speech-recognition services store customers' information and greet them by name when they call.

This parameter specifies whether speech recognition is enabled for users who are members of the dial plan.

Either use a full-duplex sound card, or uninstall Microsoft Office speech recognition.

The experimental results show that the depended speaker speech recognition rate is 98%.

Windows Speech Recognition enables users to perform actions by speaking instead of using a keyboard or mouse.

Speech recognition will not work with this program because it is in a different language.

Is Speech Recognition Becoming Mainstream?

And now many mature systems have got fairly high speech recognition rate in laboratory.

Including the main program, sub-control robot moves, voice and speech recognition to play subroutine program.

The voice command menu is too complex for the speech recognition engine.

And then, two methods of speech recognition are researched: Hidden Markov Mode1 (HMM) and Artificial Neutral Net (ANN).

Google Maps is experimenting with speech recognition technology for itsmobile users.

The present invention relates to ambient noise injection for use in speech recognition.

At last, we used speech recognition system based on spots-covering neural network to prove validity of Auto-Correlated Corner algorithm.

A fast speech recognition system for small vocabulary is presented.

This paper introduces the theoretical knowledge of speech recognition systems, software and hardware design and related algorithms in detal.

Experimental results show that Uyghur speech recognition based on subword can gain better recognition results.

A lot of people base their algorithms off of speech-recognition systems because those have been established.

The speech recognition engine can "learn" how you speak words and phrases; it can be trained to your voice.

After speech recognition is installed, you can use the following voice commands in Office programs.

A report of speech recognition of intelligent toy.

To use speech recognition, you must use an IME that comes with the Microsoft Office Multilingual User Interface Pack.

Click in the program in which you want to use speech recognition.

a processor does some quick pattern and speech recognition , and the lamp switches on.

Under Language, select a speech recognition engine.

To use speech recognition, you need a high quality close-talk (headset) microphone.

This paper presents a new method for speech recognition in stationary noise.

Recently, as an auxiliary method for Automatic Speech Recognition(ASR), computer lip-reading technology has received more and more concern.

Sphinx-4 also provides many options for enhancing the effectiveness of speech recognition.

Speech recognition is not enabled for PIN input.

In voice applications in use today, vendors claim speech recognition is about 95 percent accurate.

Multilingual intelligent human-machine interaction is a hot spot in the field of speech recognition.

The browser gives the speech recognition engine one or a set of grammars with the valid user utterances.

Your computer must either have a sound card or built in sound capabilities for speech recognition to work .

The same applies for computer speech recognition.

The theme is about de-noising of speech with noise and speech recognition.

There is too much background noise for speech recognition to work well.

Just click in the program you want to use speech recognition in to regain focus.

Libya had defected former Interior Minister A Bidi 13, a speech recognition Ai quarter Dabi Ye City (on the rebels) is extremely important.

David: No, don't be silly, I'm trying out some new speech recognition software.

Second, the hardware circuit design of speech recognition system based on DSP is deeply researched in this paper.

Speech endpoint detection is very important in speech recognition.

They can be widely applied to hearing aids, video conference, speech recognition, multi-media classroom, battlefield interception and so on.

The speech recognition or text-to-speech service does not have enough data.

In this paper a re al time speech recognition method is discussed for auto voice di aling application.

The speech recognition engine cannot start up.

For complete guidance about how to achieve an effective speech recognition system using a fixed vocabulary, see the VoxForge site.

Speech recognition will not run.

Speech recognition doesn't work with handsets attached to telephones.

To create a new document by using speech recognition, use Voice Command mode.

Therefore, voice short message recognition became a hot issue in speech recognition.

Speech recognition user profiles store information about how to recognize your voice.

How to make the speech recognition put to practical uses is the hotspots of current research of speech recognition technology.

345 introduces students to the rapidly developing field of automatic speech recognition.

In addition to TTS, Automatic Speech Recognition (ASR) support is included in Exchange 2007 Unified Messaging.

Sphinx-4 provides many configuration options to meet almost any need in the field of speech recognition.

Secondly, the hidden Markov model which is the most popular speech recognition technology has been studied in the way of speaker indendent.

Text-to-Speech (TTS) doesn't work after I installed speech recognition.

To use Simplified Chinese with speech recognition in Office XP, use the Simplified Chinese IME 3. 0.

Be sure to train speech recognition.

Based on C a signal speech recognition system of small words and isolated word are provided in the paper.

If there is a check mark by Speech, speech recognition is turned on.

Speech recognition has taken a long time to move from the laboratory to the marketplace.

It is of great importance to study practical control of robot, with Chinese speech recognition to its widely application.

THING 4: Speech recognition.

Using speech recognition instead, she says, provides a competitive advantage because it is easier to use and more efficient.

Voice commands could not find a speech recognition engine.

Then, it introduce features of DSP and structure of TMS320VC5402, and propose the speech recognition system based on DSP.

Not only is speech recognition a theoretical problem, but also an engineering problem.

Confusion between digits such as "2" and "8" has been the main error source in mandarin digit speech recognition (MDSR).

For example, you can use speech recognition in English with the Japanese language version of Office.

Modern speech-recognition programs do not merely try to identify individual words as they are spoken;

There was an error in the speech recognition engine, reinstall the engine

Hardware Realization of Semiconductor Neurocomputer and Its Application to Continuous Speech Recognition

Speech recognition: Technology that understands human speech could be about to enter the mainstream

The Implementation of a Practical Chinese Speech Recognition System For The Parcel Post Checking Task

The Design and Realization of a Speaker-dependent Chinese Speech Recognition System of Commonly-Used Sentences on Mobile Telephones

Study of Language Model with Weighted Concept Transition Network in Mandarin Speech Recognition

To use speech recognition in a language other than that of your language version of Office, you need the following

Study of Speech Recognition and Automation Verifiable Method by Neural Networks

Combination of Multiple Predictors for Correct - Incorrect Classification of Output Words in Real Time Continuous Speech Recognition

Double Gaussian GMM Based Feature Normalization and Its Application in Speech Recognition

Fixed Point DSP Application of A Small Glossary Real Time Speech Recognition System

A Simplified Neural Network Architecture for a Hybrid Speech Recognition System

A Study of Connected Digit Speech Recognition Based CHMM with Prosodic Information

Sequential Cluster Method and Its Application on Neural Network Based Speech Recognition

A Study of Uighur Syllable Speech Recognition and the Base Element of the Recognition

Speech Recognition of Confidence-Measurement-Based Unsupervised Speaker Adaptation

Principle of Selection of State's Number of HMM in Speech Recognition and its Analysis

Wheelchair robot; Speech recognition; Hidden Markov model; Wireless transmission;

The Application of Speech. Recognition Technology in Intelligent Multimedia Instruction System

Embedded Implementation of HMM Speaker-Independent Continuous Speech Recognition System

Technology of Speaker Adaptation in Speech Recognition and Its Development Trend

An Kind of Chinese Text Strings'Similarity and its Application in Speech Recognition

Speech enhancement applied to speech recognition in noisy environments

Spectral Autocorrelation Technology for Speech Recognition

Modality Integration: Facial Movement & Speech Recognition

Anti-noise Research of the Various Feature Coefficient on the Speech Recognition System

Implementation and Application of Statistical Language Model in Mandarin Speech Recognition

Architecture Analysis and Realization of Distributed Speech Recognition System

Spectral Subtraction for Speech Recognition with Increased Spectral Resolution

Speech recognition and language development in prelingually deafened children with multichannel cochlear prosthesis

Discriminative tone model training and optimal integration for Mandarin speech recognition

Application of a Speech Recognition about RBF Neural Networks

Application on self-adaptive functional-link neural network in speaker-independent speech recognition

Research on Polynomial-Fitting Speech-Trajectory Model in Chinese Continuous Speech Recognition

Method combining speech enhancement with compensation for robust speech recognition

Merging-based Syllable Detection Automaton in Continuous Chinese Speech Recognition

Combination of Acoustic Models Trained from Different Unit Sets for Chinese Continuous Speech Recognition

The Design and Development of a Simple Speech Recognition System

Summarization of Automatic Speech Recognition Technology

Research on optimal algorithm of likelihood computation in continuous speech recognition

Research on Large Vocabulary Mandarin Chinese Continuous Speech Recognition System

Experimental Evaluation of Classical HMM in Mandarin Continuous Speech Recognition

Autoregressive model-based robust speech recognition in additive noise environment

A Novel Acoustic Model for Noise Robust Speech Recognition and its Decoding Tactics

Bark Wavelet Transform of Speech and Its Application in Speech Recognition

A Combined Clustering Algorithm of Acoustic Modelling for Continuous Speech Recognition

A Simulation Analysis of Environmental Effect on Speech Distributions and Performance of Speech Recognition

Discrete HMM Based Speaker Independent Keyword Spotting Speech Recognition System

Duration Modeling for Continuous Mandarin Digital Speech Recognition

Nonlinear Statistical Matching for Subband Robust Speech Recognition

Study of Feature Selection for Speech Recognition

Research on Noise Robust Speech Recognition Based upon Segmental Features Distribution and,

Experimental Research on Audio Visual Fusion and on Model Asynchrony for Raising Speech Recognition Rate

Comparison on speech recognition in noise using Tri-microphone and Dual-microphone hearing aid technology

New neural network architecture with application in mandarin digit speech recognition

Speech recognition using probabilistic neural networks

Strategies for improving continuous speech recognition

Research on Exploiting Inter-Frame Correlation in Continuous Speech Recognition

Studies on Composite Information Space-based Speech Recognition Training System

Children Speech Database and Children Speech Recognition Technology