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MACHINE LEARNING FOR VOICE RECOGNITION

Author Information
Name: Karamjeet Kaur
Country: India
Publication Details
Year: 2024
Volume: Volume-11, Issue-1, Special (January-June)
Page Number: 28-33
Abstract
Although verbal communication is crucial for human interaction, there are still certain obstacles when interacting verbally with robots. Currently, researchers are trying to devise a different method of talking with a machine that is more akin to speaking with a human, for which speech and voice systems have already been specified. Speech recognition places a strong emphasis on the speaker's independence, while voice recognition uses the speaker's voice tone—which can be impacted by their physical characteristics—to identify who the speaker is. Because of this, in order to provide the data to a system, one must first verify these distinctive tonal qualities. Once this recognition is successfully accomplished, the system can additionally benefit from speech recognition by allowing the speaker's features to be adjusted and knowing how the speaker makes their voice or sound.
KEYWORDS: Machine Learning, Communication, Voice Recognition, Speech Recognition, Security and Biometric Authentication
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