MFCC | BestHub

58 Tech

Dec 21, 2020 · Artificial Intelligence

Voice Robot Sound Classification: Feature Extraction, VGGish Model, and Optimization Experiments

This article describes the end‑to‑end pipeline of a voice robot, covering speech framing, feature extraction (FBank, MFCC), the VGGish embedding network, various model architectures, experimental results on accuracy and recall, and future directions for improving sound‑type classification.

FBankMFCCSpeech Recognition

0 likes · 11 min read

Voice Robot Sound Classification: Feature Extraction, VGGish Model, and Optimization Experiments

58 Tech

Jun 3, 2020 · Artificial Intelligence

Speaker Verification System for Detecting Spam Calls in 58 Used‑Car Platform

This article describes how the 58 used‑car team built a speaker‑verification pipeline—covering data collection, MFCC feature extraction, LSTM and GMM modeling, threshold tuning, multi‑speaker clustering, and deployment results—to automatically block nuisance telemarketing calls while preserving user privacy.

GMMLSTMMFCC

0 likes · 15 min read

Speaker Verification System for Detecting Spam Calls in 58 Used‑Car Platform

Xianyu Technology

Apr 20, 2018 · Artificial Intelligence

Client‑Side Voice Recognition with TensorFlow Lite and MFCC Optimization

The paper presents a client‑side speech recognizer that uses a compact TensorFlow Lite Inception‑v3 CNN model combined with an optimized MFCC feature pipeline and ARM‑NEON‑accelerated, multi‑threaded processing, achieving low‑latency, high‑accuracy voice recognition on mobile and embedded devices.

Audio ProcessingMFCCNeural Networks

0 likes · 14 min read

Client‑Side Voice Recognition with TensorFlow Lite and MFCC Optimization