Pronunciation Lexicon For Large Vocabulary Speech Recognition

Pronunciation Lexicon For Large Vocabulary Speech Recognition

Specification of word pronunciation consistently is critical to the victory of many speech technology applications. Most futuristic Text-To-Speech (TTS) and Automatic Speech Recognition (ASR) systems depend on lexicons, which contain huge information on pronunciation for words. Numerous guidelines have been outlined defining the assembly of a pronunciation lexicon, and this ranges from simple two-column ASCII lexicons, which provides a mapping between phonemic and graphemic transcriptions to new standardization attempts and general de-facto standards, handling several pronunciations and orthographies. SpeechOcean has a group of experienced lexicographers who are capable of providing services for more than 40 dialects and languages with the number going on increasing. We can help you Construct pronunciation lexicons for TTS and ASR applications; Construct a personalized lexicon that you specified; Construct phoneme inventories with X-SAMPA/SAMPA/Romanization scheme; Consult on dialects and language. Interoperable specification of pronunciation data is allowed by the PLS (Pronunciation Lexicon Specification) document design within voice browsing applications both for TTS and ASR engines. PLS documents contain pronunciations which may be referred from other markup languages, including the Speech Synthesis Markup Language (SSML) and the Speech Recognition Grammar Specification (SRGS). The Pronunciation Lexicon Markup Language holds detailing of pronunciation information for speech synthesis and speech recognition engines. The language is meant for easy use by developers and supports the exact definition of pronunciation data for international use. Pronunciation Lexicon In Slovenian, lexical stress hardly obeys any rules and can be located on almost any syllable. The stressed syllable in Slovenian may form the ultimate syllable of a polysyllabic word. Slovenian Speakers have to learn lexical stress positions along with learning the language. As a result, a pronunciation lexicon which indicates the lexical stress positions is essential for linguistic research and the development of speech technology applications. Such lexicons are either used as a training material for machine learning techniques or in its full-blown form that can help in the automatic prediction of word pronunciations. Collocations and Multi-word Expressions Collocations, meaning current amalgamations of words as they appear in context, can be identified by increasing the naturalness of synthetic speech. Collocations in human speech act as prosodic units that are subjected to reduction and internal co-articulation to a higher degree as compared to any ordinary, distinctive word. The most common multi-word expressions or collocations with reflexive verbs included are saved in a distinct pronunciation lexicon. Conclusion Pronunciation lexicons are not only used for providing pronunciations of names or application-specific pronunciations but are essential in any ASR or TTS system. The chore of creating a master pronunciation lexicon is a time-consuming one and should not be repeated often. So, a master-lexicon approach for Slovenian TTS is considered to be the best where pronunciation of speaking-style variations is captured.