IntroductionSpeech is the primary means of communication between people. Speech synthesis, automatic generation of speech waveforms. Speech synthesis is the artificial production of human speech.
A diphone can be defined as a speech fragment which runs roughly from half-way one phoneme to half-way the next phoneme.
In this way the transition between two consecutive speech sounds is encapsulated in the diphone and needs not be calculated.
Overview of speech synthesis technologyThe front-end has two major tasks.
- First, it takes the raw text and converts things like numbers and abbreviations into their written-out word equivalents. This process is called text normalization or pre-processing.
- Then it assigns phonetic transcriptions to each word, and divides and marks the text into various prosodic units, like phrases, clauses, and sentences. The process of assigning phonetic transcriptions to words is called letter to sound . The output is called symbolic linguistic representation.
The other part, the back-end, takes the symbolic linguistic representation and converts it into actual sound output. The back end is often referred to as the synthesizer.
The Arabic language
Modern Standard Arabic is generally adopted as the common medium of communication through the Arab world today.
Arabic language contains 28 letters. There are 6 vowels in Arabic, 3 short and 3 long.
Research Challenges
We can classify it into two categories:
First Text To Speech challenges:
- Memory Requirements : in the concatenation method the memory requirements mainly appears when need to convert large text into speech.
- Limited to only one speaker : because diphones must be previously recorded and the memory requirements.
- Intelligibility : whether the system produces an intelligible speech
- Naturalness : can the hearer be familiar with the voice
Second Arabic Language challenges:
- The absence of the diacritics in modern Arabic text is one of the most critical problems facing computer processing of Arabic text.
- Arabic Language has a special phonological system, phonetacties and syllabic structure.
- Conversion of Arabic scripts into phonetic rules.
Research target
The main target is to build text to speech system using diphones concatenation. To achieve that goal, multiple goals appeared in the scene, such as:
- Automatic diacritization for Arabic text, so as to help user saving time.
- Phonological rules implementation (letter to sound conversion) is responsible for the automatic determination of the phonetic transcription of the incoming text.
- Determining syllables type, We can classify the syllables in Arabic either according to the length of the syllable or according to the end of the syllable.
- Converting syllables into diphones which is mapped into pre-recorded sounds.
- Concatenating diphones wave files into one file that will be played.
