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The Arabic Speech Corpus is a Modern Standard Arabic (MSA) speech corpus for speech synthesis. The corpus contains phonetic and orthographic transcriptions of more than 3.7 hours of MSA speech aligned with recorded speech on the phoneme level. The annotations include word stress marks on the individual phonemes. [1]
eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Most voice synthesizers (including Apple's Siri) use concatenative synthesis, [5] in which a program stores individual phonemes and then pieces them together to form words and sentences. WaveNet synthesizes speech with human-like emphasis and inflection on syllables, phonemes, and words. Unlike most other text-to-speech systems, a WaveNet model ...
A prototype speech recognition Aero Wizard in Windows Vista (then known as "Longhorn") build 4093.. At WinHEC 2002 Microsoft announced that Windows Vista (codenamed "Longhorn") would include advances in speech recognition and in features such as microphone array support [8] as part of an effort to "provide a consistent quality audio infrastructure for natural (continuous) speech recognition ...
The Arabic script should be deducible from its transliteration unambiguously and without necessarily understanding the meaning of the Arabic text. The reverse should also be possible when the Arabic script is fully diacritized or vowelled (i.e. muxakkal with kasrah, fatHat', Dammat', xaddat', tanwiin and other Harakaat.).