Robust speech recognition for similar Japanese pronunciation phrases under noisy conditions

Mufungulwa, George; Tsutsui, Hiroshi; Miyanaga, Yoshikazu; Abe, Shunsuke; Ochi, Mitsuru

doi:10.1109/isscs.2017.8034928

Cited by 1 publication

(1 citation statement)

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“…The proposed technique optimizes systems for achieving high accuracy. Mufungulwa et al [225] proposed an algorithm in speech modulation spectrum for Running Spectrum Analysis (RSA) and was applied to speech data. Accuracy in the noisy environment increases about 4% compared to current conventional methods.…”

Section: Japanesementioning

confidence: 99%

Computational intelligence in processing of speech acoustics: a survey

Singh

Kaur

Kukreja

et al. 2022

Complex Intell. Syst.

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Speech recognition of a language is a key area in the field of pattern recognition. This paper presents a comprehensive survey on the speech recognition techniques for non-Indian and Indian languages, and compiled some of the computational models used for processing speech acoustics. An immense number of frameworks are available for speech processing and recognition for languages persisting around the globe. However, a limited number of automatic speech recognition systems are available for commercial use. The gap between the languages being spoken around the globe and the technical support available to these languages are very few. This paper examined major challenges for speech recognition for different languages. Analysis of the literature shows that lack of standard databases availability of minority languages hinder the research recognition research across the globe. When compared with non-Indian languages, the research on speech recognition of Indian languages (except Hindi) has not achieved the expected milestone yet. Combination of MFCC and DNN–HMM classifier is most commonly used system for developing ASR minority languages, whereas in some of the majority languages, researchers are using much advance algorithms of DNN. It has also been observed that the research in this field is quite thin and still more research needs to be carried out, particularly in the case of minority languages.

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Section: Japanesementioning

confidence: 99%