Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 11 Issue 3
Speech To Speech Translation: Challenges and Future
Sandeep Dhawan
10.7753/IJCATR1103.1001
keywords : Speech-to-speech translation, languages, technology
The different languages in the world and the various native mother tongues have distinct origins. Speech is the most widely recognized method of articulation, with an average individual talking more than 11000 words each day. Speech can make each other understand actions and thoughts, be it a dialogue, conversation, or even a presentation. The passage of information would be ineffective if the other party did not understand the language of communication. As a result, a system capable of bridging the linguistic divide is required. Speech-to-speech translation is one such system that can be useful in facilitating communication between people who speak different languages. Efforts are constantly taken all around the globe to accomplish this objective and set it up as a regular occurrence to assist everybody. This paper describes a significant international and inter-institutional effort in this direction, highlighting the current challenges being faced as well as the future of the technology of Speech-to speech translation. The developed language-specific technology, parallel corpora, and speech unit (segmental) database are all been described.
@artical{s1132022ijcatr11031001,
Title = "Speech To Speech Translation: Challenges and Future",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "11",
Issue ="3",
Pages ="36 - 55",
Year = "2022",
Authors ="Sandeep Dhawan"}
Speech-to-speech translation is one such system that can help people who speak different languages communicate more effectively.
This paper describes a propelled effort in this direction, highlighting current challenges as well as the future of speech-to-speech translation technology.
Automatic speech-to-speech computer-assisted cross-lingual conversation Translation has been regarded as one of the most difficult problems in spoken language technology in decades due to its delay.
Improving conversational speech performance and introducing highly dynamic language models are the two most important requirements for improving S2ST performance.