Results 111 to 120 of about 7,229,432 (222)
Confusion matrices at the first run of the proposed neural networks used on the mel-spectrogram dataset.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
What Did i Just Hear? Detecting Pornographic Sounds in Adult Videos Using Neural Networks
, 2022 Audio-based pornographic detection enables efficient adult content filtering without sacrificing performance by exploiting distinct spectral characteristics.
Lovenia, Holy +2 more
core +1 more source
Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
IEEE AccessDeepfake audio causes damage not only to individuals and companies, but also to nations; therefore, research on deepfake audio detection technology is crucial.
Daeun Song +3 more
doaj +1 more source
Mel-FullSubNet: Mel-Spectrogram Enhancement for Improving Both Speech Quality and ASR
In this work, we propose Mel-FullSubNet, a single-channel Mel-spectrogram denoising and dereverberation network for improving both speech quality and automatic speech recognition (ASR) performance. Mel-FullSubNet takes as input the noisy and reverberant Mel-spectrogram and predicts the corresponding clean Mel-spectrogram.
Zhou, Rui +3 more
openaire +2 more sources
Predicted probabilities of the 1d CNN+LSTM model.
, 2023 (a) Raw data from the input and (b) Mel spectrogram. (c) Predicted probabilities from the trained 1D-CNN-LSTM model.
Changhwan Kim (4857199) +14 more
core +1 more source
Sound Event Detection for Music Signals Using Gaussian Processes
TecnoLógicas, 2013 In this paper we present a new methodology for detecting sound events in music signals using Gaussian Processes. Our method firstly takes a time-frequency representation, i.e. the spectrogram, of the input audio signal. Secondly the spectrogram dimension
Pablo A. Alvarado-Durán +2 more
doaj
Audio Recognition with Graphical Interface-Based Model for Assisted Robotics
Advances in Electrical and Computer EngineeringThis paper presents an optimized audio recognition system designed for a personal database recorded in Romanian by both male and female voices, aiming to assist elderly individuals through integration with assistive robotics.
TELEMBICI, L., RUSU, C.
doaj +1 more source
A Multi-Feature Fusion Approach for Dialect Identification using 1D CNN
JOIV: International Journal on Informatics VisualizationThe phonological variety of Kurdish, a language with several dialects, poses a distinct problem in automatically identifying dialects. This study examines and evaluates several sound criteria for identifying Kurdish dialects: Badini, Hawrami, and Sorani.
Sarkhel H.Taher Karim +3 more
doaj +1 more source
Neural computing & applications (Print)This paper presents an accurate model for predicting different payload weights from 3DR SOLO drone acoustic emission. The dataset consists of eleven different payload weights, ranging from 0 to 500 g with a 50 g increment.
Eman I. Abd El-Latif +4 more
semanticscholar +1 more source
Multi Pattern Features-Based Spoofing Detection Mechanism Using One Class Learning
IEEE AccessAutomatic Speaker Verification systems are prone to various voice spoofing attacks such as replays, voice conversion (VC) and speech synthesis. Malicious users can perform specific tasks such as controlling the bank account of someone, taking control of ...
Beste Ustubioglu +5 more
doaj +1 more source