A multilingual phonetic representation and analysis system for different speech databases

Altosaar, Toomas; Karjalainen, Matti; Vainio, Martti

doi:10.1109/icslp.1996.608008

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…Alphabet known as Worldbet is another ASCII presentation for IPA symbols which is very similar to SAMPA [14]. Few examples of different phonetic notations are given in Several other phonetic representations and alphabets are used in present systems.…”

Section: Phoneticsmentioning

confidence: 99%

Speech Synthesis

2019

The SAGE Encyclopedia of Human Communication Sciences and Disorders

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Speech synthesis is the artificial production of human speech. A system used for this purpose is termed a speech synthesizer, and can be implemented in software or hardware. Speech synthesis systems are often called text-to-speech (TTS) systems in reference to their ability to convert text into speech. However, systems exist that instead render symbolic linguistic representations like phonetic transcriptions into speech.A text-to-speech system is composed of two parts: a front-end and a back-end.Broadly, the front-end takes input in the form of text and outputs a symbolic linguistic representation. The back-end takes the symbolic linguistic representation as input and outputs the synthesized speech waveform . TTS software can "read" text from a document, Web page or e-Book, generating synthesized speech through a computer's speakers. TTS can also convert text files into audio MP3 files that can then be transferred to a portable MP3 player or CD-ROM. This can save time by allowing the user to listen to reports or background materials while performing other tasks. TTS makes a critical difference to those with disabilities such as poor vision or visual dyslexia. People with speech loss can utilize specialized TTS programs to turn typed words into vocalization. TTS programs provide a valuable edge, particularly for learning new languages.This thesis aims to study the speech synthesis technology and to develop a cost effective, user friendly text to speech conversion system using Laboratory virtual instruments engineering workbench (LabVIEW) graphical programming language.

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Section: Phoneticsmentioning

confidence: 99%

Speech Synthesis

2019

The SAGE Encyclopedia of Human Communication Sciences and Disorders

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“…Several pinyin rules are available nowadays, including Yale, Hanyu, Mandarin Phonetic Symbols II, Tongyong, and Wade-Giles [10]. Due to the lack of a universal standard in speech databases (regarding the symbols used in labeling as well as the audio data) multilingual speech database access systems have been difficult to develop [11]. A universal translation rule, International Phonetic Alphabet (IPA), was proposed to transcribe the sounds of speech for representing the sounds of any language in the world.…”

Section: ) Pinyin Approachmentioning

confidence: 99%

Measuring Similarity between Transliterations by Character Pronunciation

Hsu

Chen

2006

2006 IEEE International Conference on Systems, Man and Cybernetics

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When newspapers and magazines translate proper nouns from foreign languages into Chinese, the Chinese translation (termed transliterations) they choose will typically be phonetically similar to the original word. With many different translators working without a common standard, there may be many Chinese transliterations for the same proper noun, such as using the same sounds but different Chinese characters, or even using different sounds and characters. This causes confusion for the reader and, more importantly, leads to incomplete Chinese web search results. This paper investigates the similarity comparison of transliterations as a first step toward solving the incomplete search problem. Our research framework had two stages: training and recognition. In the training stage, we compared Chinese speech sounds and constructed a database of similarity matrices. In the recognition stage, we first convert transliterations to phonetic notation and then apply the matrices from the database to calculate the degree of similarity among different transliterations. Highly similar transliterations are likely to be synonymous, referring to the same foreign proper noun. Our research results indicate that our methodology achieves better performance compared to traditional pinyin approaches.

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