Preliminary experiments on automatic gender recognition based on online capital letters
In this paper we present some experiments to automatically classify online handwritten text based on capital letters. Although handwritten text is not as discriminative as face or voice, we still found some chance for gender classification based on handwritten text. Accuracies are up to 74%, even in the most challenging case of capital letters.
Code (0)
등록된 구현이 없습니다.
Tasks
Gender ClassificationSimilar Papers 제목 키워드 기반
Preliminary Studies on a Large Face Database
We perform preliminary studies on a large longitudinal face database MORPH-II, which is a benchmark dataset in the field of computer vision and pattern recognition. First, we summarize the inconsistencies in the dataset …
Age EstimationGeneral ClassificationMORPHPreliminary Study on SSCF-derived Polar Coordinate for ASR
The transition angles are defined to describe the vowel-to-vowel transitions in the acoustic space of the Spectral Subband Centroids, and the findings show that they are similar among speakers and speaking rates. In this…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)speech-recognitionSpeech RecognitionNo Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation
Automatic speech recognition (ASR) systems are known to be sensitive to the sociolinguistic variability of speech data, in which gender plays a crucial role. This can result in disparities in recognition accuracy between…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Data Augmentationspeech-recognition+1Exploring a Makeup Support System for Transgender Passing based on Automatic Gender Recognition
How to handle gender with machine learning is a controversial topic. A growing critical body of research brought attention to the numerous issues transgender communities face with the adoption of current automatic gender…
Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech
When evaluating the performance of automatic speech recognition models, usually word error rate within a certain dataset is used. Special care must be taken in understanding the dataset in order to report realistic perfo…
Automatic Speech RecognitionAutomatic Speech Recognition (ASR)Selection biasspeech-recognition+1