Authors :
Smitha S M; Prema K N; Roopa B S
Volume/Issue :
Volume 7 - 2022, Issue 4 - April
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3sRRS8W
DOI :
https://doi.org/10.5281/zenodo.6571357
Abstract :
In recent years, speech pathology analysis has
played a big role in the announcements of doctors. so as
to speak with an individual and categorical our thoughts
and feelings, the speaker must act with the auditor by
manufacturing speech input, that any is taken by the
auditor and work is allotted consequently. The method
by that thoughts area unit translated into speech
involves the utilization of articulators for manufacturing
numerous speech sounds. Speech defect may be a upset
that's caused thanks to lack of management of assorted
organs that area unit employed in the assembly of
speech. The popularity and allocations of tone of
pathological voices area unit believed as a difficult add
the sector of speech analysis still currently. Which
creates the requirement to search out some technology to
assist the voice expert in police investigation the voice
pathology? Such technological support may be done
supported the entire understanding or learning of the
foremost frequent vocal disorders, their symptoms, real
cause and malady aspect results. Acoustic pointers, as
well as variables such as transmission energy, pitch,
silence removal, windowing, Mel consistency, amplitude
Cepstrum, and jitter, are used to analyze the spoken
signal..At the ultimate finish, the classification strategy
i.e. Support vector machines are utilized to identify the
quality and pathological speech, based on the options
extracted in the previous section. The Speech pathology
recognition system could successfully categorise and tag
the standard tone of voice and the pathological speech
which contributed to diagnosing the patient.
Keywords :
Pathological, Cepstrum, Support Vector Machine, spectrogram.
In recent years, speech pathology analysis has
played a big role in the announcements of doctors. so as
to speak with an individual and categorical our thoughts
and feelings, the speaker must act with the auditor by
manufacturing speech input, that any is taken by the
auditor and work is allotted consequently. The method
by that thoughts area unit translated into speech
involves the utilization of articulators for manufacturing
numerous speech sounds. Speech defect may be a upset
that's caused thanks to lack of management of assorted
organs that area unit employed in the assembly of
speech. The popularity and allocations of tone of
pathological voices area unit believed as a difficult add
the sector of speech analysis still currently. Which
creates the requirement to search out some technology to
assist the voice expert in police investigation the voice
pathology? Such technological support may be done
supported the entire understanding or learning of the
foremost frequent vocal disorders, their symptoms, real
cause and malady aspect results. Acoustic pointers, as
well as variables such as transmission energy, pitch,
silence removal, windowing, Mel consistency, amplitude
Cepstrum, and jitter, are used to analyze the spoken
signal..At the ultimate finish, the classification strategy
i.e. Support vector machines are utilized to identify the
quality and pathological speech, based on the options
extracted in the previous section. The Speech pathology
recognition system could successfully categorise and tag
the standard tone of voice and the pathological speech
which contributed to diagnosing the patient.
Keywords :
Pathological, Cepstrum, Support Vector Machine, spectrogram.
