Home - HMM/DNN-based speech synthesis system (HTS)

Speech Recognition is the process by which a computer maps an acoustic speech signal to text.

Programming Speech in WPF - Speech Synthesis

This is also the basis for the () method of speechcompression. Digitally recorded human speech is broken into short segments,and each is characterized according to the three parameters of the model. Thistypically requires about a dozen bytes per segment, or 2 to 6 kbytes/sec. Thesegment information is transmitted or stored as needed, and then reconstructedwith the speech synthesizer.

I had what seemed like an infinitely long list of 16 topics and the challenge to memorize a one minute speech for each.

An Introduction to text-to-speech synthesis

Yuet, as a serious, tiny, offline, high speed, embedded speech synthesis engine for Chinese text, because of its extremely small size, it is well suited to small memory footprint, resource constrained embedded systems and microelectronics systems, suitable for both board level and C level integration and porting, such as MCU, FPGA, DSP, SoC and embedded RTOS, Android/Java VM, iPhone, Flash Player and more. Chip level implementation can be developed with new donation or investment.

Yuet can be running as an standalone Chinese text segmenter (morphological and semantic analyser), an standalone translator between Cantonese and Mandarin, an standalone generator of Chinese text romanisation, and other usage of Chinese text processing, e.g. natural language processing, Chinese text information extraction, retrieval, machine learning and data mining, etc.

Tiny embedded Chinese speech synthesis engine, suitable to: intelligent Chinese text processing, natural language understanding, language teaching, language learning, education for children, screen reader, speech translation, watch, toy, book, robot, finance news, book reader, help desk and translation assistant, game, animation, multimedia publishing, mobile phone manufacturers and other products that needs real-time convert Chinese text to speech, including software and computer, consumer device, electronic equipment and so on.

Yuet can have bindings for many modern programming languages, such as JavaScript, Ruby, TCL, Lua, Python, Java, ActionScript, ErLang, Haskell, Perl, Objective-C, Swift, PHP, and Microsoft .Net platform, etc.

There is an English-Chinese dictionary app demonstrates the features of the engine and has the same name on App Store. The app was designed as a Chinese language learning pocket tool, an speaker assistant with correct native pronunciation. See Yuet in action, download the app on iTunes,

1, (4MB, download deprecated, email required.)Standalone executable binary, the program is a command line tool that can segment Chinese text into words, generate Yale romanisation of the input text, and Cantonese speech synthesis of the input text. Try it, you'll be amazing at how accurate the engine is. It can segment any sentence of the attached material(2000 business sentences) into words with 100% correct output.2, Develop product with the standard library (C shared dynamic library or static library), must have the legal certificate.

07/09/2010 · The W3C specifications used by VXML to provide speech synthesis.

Most speech recognition algorithms rely only on the sound of the individualwords, and not on their context. They attempt to , but not to. This places them at a tremendous disadvantage comparedto human listeners. Three annoyances are common in speech recognitionsystems: (1) The recognized speech must have distinct pauses between thewords. This eliminates the need for the algorithm to deal with phrases thatsound alike, but are composed of different words (i.e., and ). This is slow and awkward for people accustomed to speaking in anoverlapping flow. (2) The vocabulary is often limited to only a few hundredwords. This means that the algorithm only has to search a limited set to find thebest match. As the vocabulary is made larger, the recognition time and errorrate both increase. (3) The algorithm must be on each speaker. Thisrequires each person using the system to speak each word to be recognized,often needing to be repeated five to ten times. This personalized databasegreatly increases the accuracy of the word recognition, but it is inconvenientand time consuming.

Free software tools for building HMM-based speech synthesis system. Nagoya Institute of Technology.

products | Acapela group - Voice synthesis - Text to Speech

At Cepstral, Text-to-Speech is our only focus. We make realistic synthetic voices that say anything, anywhere, with personality and style. From the smallest device to large installations and high-end interactive media, Cepstral voices can bring fresh content to your ears, on demand.

Lyrebird - An API for Speech Synthesis

Lawrence believes that there are no benefits of prejudice speech and it should not be included in what America’s “freedom of speech” entails, because of its effect on minorities as he writes, “Whenever we decide that racist speech must be tolerated because of the importanc...

vozMe lets you add a speech synthesis bookmarlet to your browser

Power Text to Speech Reader is an award-winning text-to-speech player that lets you listen to documents, e-mails or web pages instead of reading on screen,it uses voice synthesis to create spoken audio from text with .

PPT – Speech Synthesis: Abstract PowerPoint …

Step 4. Now there tick the Speech Synthesis and Voice Recognition options where speech recognition is for listening to your stop voice command and Speech Synthesis for displaying weather widget in your Android alarm screen when it rang up.

Talking Web Pages and the Speech Synthesis API - SitePoint

Nearly all techniques for speech synthesis and recognition are based on themodel of human speech production shown in Fig. 22-8. Most human speechsounds can be classified as either or . Voiced sounds occurwhen air is forced from the lungs, through the vocal cords, and out of the mouthand/or nose. The vocal cords are two thin flaps of tissue