This dissertation focuses on an automatic birdsong-phrase recognition system that is robust to limited training data, class variability, and noise.
Nov 15, 2016 · This paper presents a different approach to birdsong phrase classification using template-based techniques suitable even for limited training ...
The innovation of this work is that the proposed algorithm is robust to both limited training data and background noise, and outperforms DTW and HMMs in ...
A robust automatic birdsong phrase classification: A template-based ...
pubmed.ncbi.nlm.nih.gov › ...
This paper presents a different approach to birdsong phrase classification using template-based techniques suitable even for limited training data and noisy ...
Missing: Recognition Human Speech:
This paper presents a different approach to birdsong phrase classification using template-based techniques suitable even for limited training data and noisy ...
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This paper presents a different approach to birdsong phrase classification using template-based techniques suitable even for limited training data and noisy ...
This paper demonstrates automatic recognition of vocalizations of four common bird species using an algorithm that extracts frequency track sets.
... Humans and Machines", March 2019. Kantapon Kaewtip, "Robust Automatic Recognition of Birdsongs and Human Speech: a Template-Based Approach", 2017. Harish ...
Oct 22, 2024 · In this paper, we present a novel approach to birdsong phase classification using template-based techniques suitable even for limited ...
This thesis aims to achieve better automatic speech recognition (ASR) for children. The most challenging problem is a lack of transcribed available ...