Elbot the Robot Crm Forum | Used By Builders and Real Estate Companies jabberwacky - live chat bot - AI Artificial Intelligence chatbot - jabber wacky - talking robot - chatbots - chatterbot - chatterbots - jabberwocky - take a Turing Test - Loebner Prize - Chatterbox Challenge - entertainment robots, robotics, marketing, ga chrome-speech-input.html This web page demonstrates the incredible ease that you can add Google's professional level speech recognition support to your web pages just by adding the webkit speech input element. Chrome's HTML5 support and Google's speech servers do all the work. Best yet, Google is not charging for this service! By taking advantage of Chrome's HTML5 support this page gives you a complete voice controlled interface for searching for videos on YouTube and playing them. Here's how to use it: Video Search - Click the microphone icon and say some keywords.
How to use Chrome's speech-to-text Google has introduced a way that you can talk to your browser, as long as that browser is Chrome. It won't talk back, but it will do your bidding. These instructions cover the basics of the new speech-to-text feature, which is functional but has yet to be implemented widely. First off, be sure that you're using Google Chrome 11 (download for Windows | Mac | Linux)or later, and that you've got a microphone. Next, you have to navigate to a site that supports the new speech API. So: Set Google Translate to English, then click the microphone that appears in the lower right-hand corner of the input box. Web sites that currently use the speech API Google Translate Web2Voice, which demonstrates embedded video playback, control, and search HTML5 demo Web site There are currently some unofficial options for playing with the Speech-to-HTML API. This isn't an official implementation, since that would appear on the YouTube site.
Stored Procedures em Mysql – Inserir e editar « Taliba Martins Vou dar início a uma série de artigos falando de Stored Procedures, Functions, triggers e views, depois vamos modelar, Programar e Tunar um banco usando essas funções. Criar o banco de estudos: Criar a tabela de estados: Criar a Stored procedure para incluir ou editar um registro: Muito simpes não? A função DELIMITER, troca o ‘;’ por outra coisa, apra que você possa executar comandos que levem o ‘;’. Pronto, Paraná inserido. Obrigado a todos os comments, coloquei no padrão agora ;-) Like this: Like Loading...
Telecommunications relay service Telecommunications Relay Service, also known as TRS, Relay Service, or IP-Relay, or Web-based relay services, is an operator service that allows people who are deaf, hard-of-hearing, deafblind, or have a speech disorder to place calls to standard telephone users via a keyboard or assistive device. Originally, relay services were designed to be connected through a TDD (TTY) or other assistive telephone device. Services have gradually expanded to include almost any real-time text capable technology such as a personal computer, laptop, mobile phone, PDA, and many other devices. The first relay service was established by Converse Communications of Connecticut in 1974. Types of service available[edit] Depending on the technical and physical abilities, as well as physical environments, of users, different call types are possible via relay services. TTY to Voice/Voice to TTY[edit] Voice Carry Over[edit] A common kind of call is Voice Carry Over (VCO). VCO with privacy[edit] 2-Line VCO[edit]
Hidden Markov model In simpler Markov models (like a Markov chain), the state is directly visible to the observer, and therefore the state transition probabilities are the only parameters. In a hidden Markov model, the state is not directly visible, but output, dependent on the state, is visible. Each state has a probability distribution over the possible output tokens. Hidden Markov models are especially known for their application in temporal pattern recognition such as speech, handwriting, gesture recognition,[7] part-of-speech tagging, musical score following,[8] partial discharges[9] and bioinformatics. A hidden Markov model can be considered a generalization of a mixture model where the hidden variables (or latent variables), which control the mixture component to be selected for each observation, are related through a Markov process rather than independent of each other. Description in terms of urns[edit] Figure 1. Architecture[edit] is chosen given the hidden state at time , for a total of . for some .
Speech recognition Speech recognition is usually processed in middleware, the results are transmitted to the user applications. In Computer Science and Electrical Engineering speech recognition (SR) is the translation of spoken words into text. It is also known as "automatic speech recognition" (ASR), "computer speech recognition", or just "speech to text" (STT). Some SR systems use "speaker independent speech recognition"[1] while others use "training" where an individual speaker reads sections of text into the SR system. Speech recognition applications include voice user interfaces such as voice dialling (e.g. The term voice recognition[2][3][4] or speaker identification[5][6] refers to finding the identity of "who" is speaking, rather than what they are saying. Applications[edit] In-car systems[edit] Typically a manual control input, for example by means of a finger control on the steering-wheel, enables the speech recognition system and this is signalled to the driver by an audio prompt. Healthcare[edit]