Fuzzy Speech Recognition: A Review

Vani, H. Y.; Anusuya, M. A.

doi:10.5120/ijca2020919989

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…FCM combines neural network theory with fuzzy control. Its main advantages are simple construction methods, convenient operation, and strong reasoning ability (Esmaeiloghli et al, 2021; Vani & Anusuya, 2020). FCM is a directed graph composed of concept nodes, directed arcs, and the causal relationship between concept nodes.…”

Section: Methodsmentioning

confidence: 99%

The design of intelligent fuzzy cognitive system of music emotion by product supply chain management

Jiang

2023

Expert Systems

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The classification of musical emotion is a challenging problem due to the subjectivity of human perception. In order to analyse the emotion contained in music from the perspective of product supply chain management, the psychological model and characteristics of music emotion are introduced. Additionally, the current product supply chain and the composition of the two contracts are analysed based on the characteristics of online music products. Finally, a speech emotion recognition model based on a Fuzzy Cognitive Map (FCM) is proposed. Two corpora containing five emotions (sadness, anger, happiness, surprise, and boredom) are selected to test the performance and characteristics of the network. In order to evaluate the system performance, different acoustic features are extracted, including prosodic features, formant features, marginal spectral features, and Mel‐Frequency Cepstral Coefficients (MFCC). The results show that the average recognition rate of MFCC features on the Berlin emotional speech database is 70.36%, which is 0.75% higher than the second‐highest edge spectrum features and achieves better results. Meanwhile, on this database, the Musical Emotion Recognition System based on FCM (MERS‐FCM) is improved by 20.36%, 7.34%, and 4.12% compared with Back Propagation, K‐nearest neighbour, and support vector machine, respectively, which shows that MERS‐FCM has better performance. The research of the music emotion recognition system based on FCM can provide more reference paths for the use and development of music emotion information.

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Section: Methodsmentioning

confidence: 99%

The design of intelligent fuzzy cognitive system of music emotion by product supply chain management

Jiang

2023

Expert Systems

View full text Add to dashboard Cite

show abstract

“…This model was presented at the IBM linguistics lab for the first time in an effort to recognize speech through the Tri-gram model and roughly 20000 dictionaries with over 8 trillion modeling parameters [4].…”

Section: N-gram Taggingmentioning

confidence: 99%

“…Nowadays, the expansion and popularity of social networks among the public has led the divergence of writing and speech styles in every language, turning phrases into a rather abridged, colloquial form. For that reason, it becomes increasingly crucial to conduct research into linguistics essential to numerous functions such as machine translation [1], smart filtering [2] speech recognition [3,4], text processing and summarization. Persian is a language officially spoken in many countries including Iran, Afghanistan, Tajikistan and unofficially in certain regions of Uzbekistan.…”

Section: Introductionmentioning

confidence: 99%