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Tiberian Hebrew is the canonical pronunciation of the Hebrew Bible (Tanakh) committed to writing by Masoretic scholars living in the Jewish community of Tiberias in ancient Galilee c. 750–950 CE under the Abbasid Caliphate.
This is the pronunciation key for IPA transcriptions of Hebrew on Wikipedia. It provides a set of symbols to represent the pronunciation of Hebrew in Wikipedia articles, and example words that illustrate the sounds that correspond to them.
Find.Bible links to translations in over 6,100 languages and dialects (as of April 2018 relating to 2,141 separate ISO639-3 registered languages) WorldBibles.org lists over 14,000 internet links to Bibles, New Testaments and portions in "over four thousand languages" Online Bible—Read, Listen or Download Free: PDF, EPUB, Audio
Closely related to the Sephardi pronunciation is the Italian pronunciation of Hebrew, which may be regarded as a variant. In communities from Italy, Greece and Turkey, he is not realized as [h] but as a silent letter because of the influence of Italian, Judaeo-Spanish and (to a lesser extent) Modern Greek , all of which lack the sound.
Biblical Hebrew (Hebrew: עִבְרִית מִקְרָאִית , romanized: ʿiḇrîṯ miqrāʾîṯ (Ivrit Miqra'it) ⓘ or לְשׁוֹן הַמִּקְרָא , ləšôn ham-miqrāʾ (Leshon ha-Miqra) ⓘ), also called Classical Hebrew, is an archaic form of the Hebrew language, a language in the Canaanitic branch of the Semitic languages spoken by the Israelites in the area known as ...
The Babylonian vocalization, also known as Babylonian supralinear punctuation, or Babylonian pointing or Babylonian niqqud Hebrew: נִקּוּד בָּבְלִי ) is a system of diacritics and vowel symbols assigned above the text and devised by the Masoretes of Babylon to add to the consonantal text of the Hebrew Bible to indicate the ...
The database is distributed as a plain text file with one entry to a line in the format "WORD <pronunciation>" with a two-space separator between the parts. If multiple pronunciations are available for a word, variants are identified using numbered versions (e.g. WORD(1)).
The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them. [1]