On the design of automatic voice condition analysis systems. Part I: Review of concepts and an insight to the state of the art
JA Gómez-García, L Moro-Velázquez… - … Signal Processing and …, 2019 - Elsevier
This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …
voice condition analysis systems. The goal of this paper is to provide to the scientific …
Age and gender recognition using a convolutional neural network with a specially designed multi-attention module through speech spectrograms
Speech signals are being used as a primary input source in human–computer interaction
(HCI) to develop several applications, such as automatic speech recognition (ASR), speech …
(HCI) to develop several applications, such as automatic speech recognition (ASR), speech …
Multimodal age and gender estimation for adaptive human-robot interaction: A systematic literature review
Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …
task in computer vision. It is a very important and active research topic with many areas of …
Age estimation in short speech utterances based on LSTM recurrent neural networks
Age estimation from speech has recently received increased interest as it is useful for many
applications such as user-profiling, targeted marketing, or personalized call-routing. This …
applications such as user-profiling, targeted marketing, or personalized call-routing. This …
Towards speaker age estimation with label distribution learning
Existing methods for speaker age estimation usually treat it as a multi-class classification or
a regression problem. However, precise age identification remains a challenge due to label …
a regression problem. However, precise age identification remains a challenge due to label …
Age and gender classification from speech and face images by jointly fine-tuned deep neural networks
The classification of human's age and gender from speech and face images is a challenging
task that has important applications in real-life and its applications are expected to grow …
task that has important applications in real-life and its applications are expected to grow …
Voxceleb enrichment for age and gender recognition
VoxCeleb datasets are widely used in speaker recognition studies. Our work serves two
purposes. First, we provide speaker age labels and (an alternative) annotation of speaker …
purposes. First, we provide speaker age labels and (an alternative) annotation of speaker …
Didispeech: A large scale mandarin speech corpus
This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It
consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and …
consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and …
Voice activity detection in eco‐acoustic data enables privacy protection and is a proxy for human disturbance
Eco‐acoustic monitoring is increasingly being used to map biodiversity across large scales,
yet little thought is given to the privacy concerns and potential scientific value of …
yet little thought is given to the privacy concerns and potential scientific value of …
Gender voice recognition using random forest recursive feature elimination with gradient boosting machines
K Zvarevashe, OO Olugbara - … in big data, computing and data …, 2018 - ieeexplore.ieee.org
Speech emotion recognition is a difficult task in the field of affective computing because
emotions in speech heavily depend on a variety of factors such as feeling, thought …
emotions in speech heavily depend on a variety of factors such as feeling, thought …