Representation of Musical Information
... …but addsynenv allows much more complex envelopes Plays one note with waveform specified by partial nos. & their envelopes (maybe also phases) – Simultaneously displays “spectrogram” or “sonogram” – …but not waveform – Phase in real world normally has little effect, but can be critical in recording ...
... …but addsynenv allows much more complex envelopes Plays one note with waveform specified by partial nos. & their envelopes (maybe also phases) – Simultaneously displays “spectrogram” or “sonogram” – …but not waveform – Phase in real world normally has little effect, but can be critical in recording ...
slides lecture 1 (Intro)
... • systems like this are under development (e.g., Daimler Benz) • e.g., RALPH at CMU – in mid 90’s it drove 98% of the way from Pittsburgh to San Diego without any human assistance – machine learning allows computers to learn to do things without ...
... • systems like this are under development (e.g., Daimler Benz) • e.g., RALPH at CMU – in mid 90’s it drove 98% of the way from Pittsburgh to San Diego without any human assistance – machine learning allows computers to learn to do things without ...
Document
... Software that uses a specific set of information, from which it extracts and processes particular pieces Expert system A software system based on the knowledge of human experts; it is a – Rule-based system A software system based on a set of ifthen rules – Inference engine The software that processe ...
... Software that uses a specific set of information, from which it extracts and processes particular pieces Expert system A software system based on the knowledge of human experts; it is a – Rule-based system A software system based on a set of ifthen rules – Inference engine The software that processe ...
Document
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
Chapter 12
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
Artificial Intelligence and Other Approaches to Speech Understanding
... understanding. By so doing it brings out some key characteristics of AI methodology. This paper is primarily written for a general AI audience interested in methodological issues, complementing previous work (Cohen 1991; Brooks 1991a). It is also written for any AI researchers who are contemplating ...
... understanding. By so doing it brings out some key characteristics of AI methodology. This paper is primarily written for a general AI audience interested in methodological issues, complementing previous work (Cohen 1991; Brooks 1991a). It is also written for any AI researchers who are contemplating ...
Artificial Intelligence for Speech Recognition
... corresponds to which punctuation is difficult for a computer. Most speech recognition systems are unable to provide any more information about an utterance other than what words were pronounced, so information about stress and intonation cannot be used by the application using the recognizer. In nat ...
... corresponds to which punctuation is difficult for a computer. Most speech recognition systems are unable to provide any more information about an utterance other than what words were pronounced, so information about stress and intonation cannot be used by the application using the recognizer. In nat ...
Expert system
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
CS 294-5: Statistical Natural Language Processing
... Once upon a time there was a dishonest fox and a vain crow. One day the crow was sitting in his tree, holding a piece of cheese in his mouth. He noticed that he was holding the piece of cheese. He became hungry, and swallowed the cheese. The fox walked over to the crow. The End. ...
... Once upon a time there was a dishonest fox and a vain crow. One day the crow was sitting in his tree, holding a piece of cheese in his mouth. He noticed that he was holding the piece of cheese. He became hungry, and swallowed the cheese. The fox walked over to the crow. The End. ...
PowerPoint
... Software that uses a specific set of information, from which it extracts and processes particular pieces Expert system A software system based on the knowledge of human experts; it is a – Rule-based system A software system based on a set of ifthen rules – Inference engine The software that processe ...
... Software that uses a specific set of information, from which it extracts and processes particular pieces Expert system A software system based on the knowledge of human experts; it is a – Rule-based system A software system based on a set of ifthen rules – Inference engine The software that processe ...
Notes 1: Introduction to Artificial Intelligence
... • systems like this are under development (e.g., Daimler Benz) • e.g., RALPH at CMU – in mid 90’s it drove 98% of the way from Pittsburgh to San Diego without any human assistance – machine learning allows computers to learn to do things without ...
... • systems like this are under development (e.g., Daimler Benz) • e.g., RALPH at CMU – in mid 90’s it drove 98% of the way from Pittsburgh to San Diego without any human assistance – machine learning allows computers to learn to do things without ...
Powerpoint
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
... Voice Recognition Voiceprint The plot of frequency changes over time representing the sound of human speech A human trains a voice-recognition system by speaking a word several times so the computer gets an average voiceprint for a word Used to authenticate the declared sender of a voice message ...
textbook slides
... Voice Synthesis Another Approach to Voice Synthesis Recorded speech A large collection of words is recorded digitally and individual words are selected to make up a message Since words are pronounced differently in different contexts, some words may have to be recorded multiple times – For example, ...
... Voice Synthesis Another Approach to Voice Synthesis Recorded speech A large collection of words is recorded digitally and individual words are selected to make up a message Since words are pronounced differently in different contexts, some words may have to be recorded multiple times – For example, ...
Notes 1: Introduction to Artificial Intelligence
... – translate text to phonetic form • e.g., “fictitious” -> fik-tish-es – use pronunciation rules to map phonemes to actual sound • e.g., “tish” -> sequence of basic audio sounds ...
... – translate text to phonetic form • e.g., “fictitious” -> fik-tish-es – use pronunciation rules to map phonemes to actual sound • e.g., “tish” -> sequence of basic audio sounds ...
TRACE model (McClelland and Elman 1986)
... 1. Context interacts directly with buttom-up processes (sensitivity effect) 2. Context may simply provide additional source of information (response bias effect) ...
... 1. Context interacts directly with buttom-up processes (sensitivity effect) 2. Context may simply provide additional source of information (response bias effect) ...
Introduction to Artificial Intelligence
... What’s involved in Intelligence? Ability to interact with the real world to perceive, understand, and act e.g., speech recognition and understanding and synthesis e.g., image understanding e.g., ability to take actions, have an effect Reasoning and Planning modeling the external world ...
... What’s involved in Intelligence? Ability to interact with the real world to perceive, understand, and act e.g., speech recognition and understanding and synthesis e.g., image understanding e.g., ability to take actions, have an effect Reasoning and Planning modeling the external world ...
Speech Recognition Using Hidden Markov Model
... Diagram and Representation of HMM -Three Probability Densities -Least important -Most important ...
... Diagram and Representation of HMM -Three Probability Densities -Least important -Most important ...
Introduction
... Can Computers Learn and Adapt ? • Learning and Adaptation • consider a computer learning to drive on the freeway • we could teach it lots of rules about what to do or we could let it drive and steer it back on course when it heads off track • e.g., RALPH at CMU • in mid 90’s it drove 98% of the way ...
... Can Computers Learn and Adapt ? • Learning and Adaptation • consider a computer learning to drive on the freeway • we could teach it lots of rules about what to do or we could let it drive and steer it back on course when it heads off track • e.g., RALPH at CMU • in mid 90’s it drove 98% of the way ...
Spatio-temporal Pattern Recognition with Neural Networks
... Another reason is that the perceptive system does not process speech as pattern recognition systems usually do. To a certain extent, it is true that the cochlear nucleus, the superior olivary complex and the colliculus, for example, are apparently specialised and they might perform 'signal processin ...
... Another reason is that the perceptive system does not process speech as pattern recognition systems usually do. To a certain extent, it is true that the cochlear nucleus, the superior olivary complex and the colliculus, for example, are apparently specialised and they might perform 'signal processin ...
Speech to UML: An Intelligent Modeling Tool for Software Engineering
... For example, the UML class diagram notation forms one language, and the sequence diagram notation forms another one. This means that instead of one big grammar we have a set of smaller grammars that can be activated as the need arises, and thus get even better accuracy for speech recognition. In ord ...
... For example, the UML class diagram notation forms one language, and the sequence diagram notation forms another one. This means that instead of one big grammar we have a set of smaller grammars that can be activated as the need arises, and thus get even better accuracy for speech recognition. In ord ...
From AUDREY to Siri. - International Computer Science Institute
... • Recognized strings of digits with pauses in the between • 97-99% accuracy if “adapted” to speaker ...
... • Recognized strings of digits with pauses in the between • 97-99% accuracy if “adapted” to speaker ...
Note - WordPress.com
... • Conclusion – YES: in the near future we can have computers with as many basic processing elements as our brain, but with • far fewer interconnections (wires or synapses) than the brain • much faster updates than the brain ...
... • Conclusion – YES: in the near future we can have computers with as many basic processing elements as our brain, but with • far fewer interconnections (wires or synapses) than the brain • much faster updates than the brain ...
Parkinson`s - Personal Web Pages
... intensively and patients are motivated and actively involved in the therapeutic process.** ...
... intensively and patients are motivated and actively involved in the therapeutic process.** ...
Speech synthesis
Speech Synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech computer or speech synthesizer, and can be implemented in software or hardware products. 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 clearly. 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.A text-to-speech system (or ""engine"") is composed of two parts: a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization. The front-end then assigns phonetic transcriptions to each word, and divides and marks the text into prosodic units, like phrases, clauses, and sentences. The process of assigning phonetic transcriptions to words is called text-to-phoneme or grapheme-to-phoneme conversion. Phonetic transcriptions and prosody information together make up the symbolic linguistic representation that is output by the front-end. The back-end—often referred to as the synthesizer—then converts the symbolic linguistic representation into sound. In certain systems, this part includes the computation of the target prosody (pitch contour, phoneme durations), which is then imposed on the output speech.