research
∙
09/15/2023
TF-SepNet: An Efficient 1D Kernel Design in CNNs for Low-Complexity Acoustic Scene Classification
Recent studies focus on developing efficient systems for acoustic scene ...
share
research
∙
01/31/2023
An Comparative Analysis of Different Pitch and Metrical Grid Encoding Methods in the Task of Sequential Music Generation
Pitch and meter are two fundamental music features for symbolic music ge...
research
∙
10/28/2022
Visually-Aware Audio Captioning With Adaptive Audio-Visual Attention
Audio captioning is the task of generating captions that describe the co...
research
∙
10/28/2022
Determining Ratio of Prunable Channels in MobileNet by Sparsity for Acoustic Scene Classification
MobileNet is widely used for Acoustic Scene Classification (ASC) in embe...
research
∙
08/17/2022
Extract fundamental frequency based on CNN combined with PYIN
This paper refers to the extraction of multiple fundamental frequencies ...
research
∙
08/12/2022
An investigation on selecting audio pre-trained models for audio captioning
Audio captioning is a task that generates description of audio based on ...
research
∙
08/04/2022
Keyword Spotting System and Evaluation of Pruning and Quantization Methods on Low-power Edge Microcontrollers
Keyword spotting (KWS) is beneficial for voice-based user interactions w...
research
∙
08/05/2021
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement Learning
Automated audio captioning aims to use natural language to describe the ...
research
∙
01/14/2021
Unsupervised heart abnormality detection based on phonocardiogram analysis with Beta Variational Auto-Encoders
Heart Sound (also known as phonocardiogram (PCG)) analysis is a popular ...
research
∙
12/07/2020
A novel dataset for the identification of computer generated melodies in the CSMT challenge
In this paper, the dataset used for the data challenge organised by Conf...
research
∙
08/11/2020
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music
Detecting singing-voice in polyphonic instrumental music is critical to ...
research
∙
08/07/2020
Peking Opera Synthesis via Duration Informed Attention Network
Peking Opera has been the most dominant form of Chinese performing art s...
research
∙
12/27/2019
Synthesising Expressiveness in Peking Opera via Duration Informed Attention Network
This paper presents a method that generates expressive singing voice of ...
research
∙
04/27/2019
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering
Sound event detection (SED) methods typically rely on either strongly la...
research
∙
11/17/2018
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
Audio tagging aims to detect the types of sound events occurring in an a...
research
∙
08/06/2018
