Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals
Summary
Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals is a scholarly article[1].
Key Facts
Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/fusing-mfcc-and-lpc-features-using-1d-triplet-cnn-for-speaker-recognition-in-severely-degraded-audio-signals
MLA“Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fusing-mfcc-and-lpc-features-using-1d-triplet-cnn-for-speaker-recognition-in-severely-degraded-audio-signals.
BibTeX@misc{4ortxyz_fusing-mfcc-and-lpc-features-using-1d-triplet-cnn-for-speaker-recognition-in-severely-degraded-audio-signals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals}}, year = {2026}, url = {https://4ort.xyz/entity/fusing-mfcc-and-lpc-features-using-1d-triplet-cnn-for-speaker-recognition-in-severely-degraded-audio-signals}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fusing MFCC and LPC Features Using 1D Triplet CNN for Speaker Recognition in Severely Degraded Audio Signals — https://4ort.xyz/entity/fusing-mfcc-and-lpc-features-using-1d-triplet-cnn-for-speaker-recognition-in-severely-degraded-audio-signals (retrieved 2026-05-24)
