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Text-to-speech software with highly professional voices for Linux, Windows, MAC and Solaris.

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which allowed command-line users to redirect text output to speech

The problem area in speech synthesis is very wide. There are several problems in text pre-processing, such as numerals, abbreviations, and acronyms. Correct prosody and pronunciation analysis from written text is also a major problem today. Written text contains no explicit emotions and pronunciation of proper and foreign names is sometimes very anomalous. At the low-level synthesis, the discontinuities and contextual effects in wave concatenation methods are the most problematic. Speech synthesis has been found also more difficult with female and child voices. Female voice has a pitch almost twice as high as with male voice and with children it may be even three times as high. The higher fundamental frequency makes it more difficult to estimate the formant frequency locations (Klatt 1987, Klatt et al. 1990). The evaluation and assessment of synthesized speech is neither a simple task. Speech quality is a multidimensional term and the evaluation method must be chosen carefully to achieve desired results. This chapter describes the major problems in text-to-speech research.

eSpeak does text to speech synthesis for the following languages, some better than others

We innovate to give a voice to All. Our in-house speech technologies and solutions are designed to provide a smart and pleasant spoken audio result.

Online Text to Speech Synthesizer - CodeWelt

Just select a piece of text in your Webbrowser, and do

Text-to-speech solutions that give the say to tiny toys or server farms, artificial intelligence, screen readers or robots, cars & trains, smartphones, IoT and much more.

Text-to-speech solutions that give the say to tiny toys or server farms, artificial intelligence, screen readers or robots, cars & trains, smartphones, IoT and much more.

Free Online Text to Speech Synthesizer on the Web

This online application converts text into speech

Text preprocessing is usually a very complex task and includes several language dependent problems (Sproat 1996). Digits and numerals must be expanded into full words. For example in English, numeral 243 would be expanded as and 1750 as (if year) or (if measure). Related cases include the distinction between and . Fractions and dates are also problematic. 5/16 can be expanded as (if fraction) or (if date). Expansion ordinal numbers have been found also problematic. The first three ordinals must be expanded differently than the others, 1st as , 2nd as , and 3rd as . Same kind of contextual problems are faced with roman numerals. Chapter III should be expanded as and Henry III as and may be either a pronoun or number. Roman numerals may be also confused with some common abbreviations, such as MCM. Numbers may also have some special forms of expression, such as 22 as in telephone numbers and 1-0 as in sports.

To obtain this time-aligned index we will perform an automatic alignment of an audio podcast with its transcription at word level. This means we will obtain at what particular time in the podcast each word is uttered. We will perform the alignment using an Automatic-Speech-to-Text aligner (for example the -based ).

Provides access to the functionality of an installed speech synthesis engine (voice ..
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  • Change gender of text-to-speech voice

    Speech synthesis - Wikipedia

  • How to open the Speech Synthesizer

    Speech synthesis was ..

  • Free text-to-speech (TTS) or speech synthesizers

    eSpeak: Speech Synthesizer

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DoubleTalk Text to Speech Voice Synthesizer Chips

Some languages, such as Finnish, Italian, and Spanish, have very regular pronunciation. Sometimes there is almost one-to-one correspondence with letter to sound. The other end is for example French with very irregular pronunciation. Many languages, such as French, German, Danish and Portuguese also contain lots of special stress markers and other non ASCII characters (Oliveira et al. 1992). In German, the sentential structure differs largely from other languages. For text analysis, the use of capitalized letters with nouns may cause some problems because capitalized words are usually analyzed differently than others.

Speech Synthesizer - Free downloads and reviews - …

For certain languages synthetic speech is easier to produce than in others. Also, the amount of potential users and markets are very different with different countries and languages which also affects how much resources are available for developing speech synthesis. Most of languages have also some special features which can make the development process either much easier or considerably harder.

Talking Web Pages and the Speech Synthesis API - …

Acapela Group, inspiring provider of voices and speech solutions.
We create voices that read, inform, explain, present, guide, educate, tell stories, help to communicate, alarm, notify, entertain.

vozMe - From text to speech (speech synthesis)

In concatenative synthesis (see 5.3), the collecting of speech samples and labeling them is very time-consuming and may yield quite large waveform databases. However, the amount of data may be reduced with some compression method. Concatenation points between samples may cause distortion to the speech. With some longer units, such as words or syllables, the coarticulation effect is a problem and some problems with memory and system requirements may arise.

vozMe: From text to speech (speech synthesis)

In formant synthesis (see 5.2), the set of rules controlling the formant frequencies and amplitudes and the characteristics of the excitation source is large. Also some lack of naturalness, especially with nasalized sounds, is considered a major problem with formant synthesis.

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