Search Results for author:
Found 16 papers, 13 papers with code
KazEmoTTS: A Dataset for Kazakh Emotional Text-to-Speech Synthesis
This study focuses on the creation of the KazEmoTTS dataset, designed for emotional Kazakh text-to-speech (TTS) applications.
KazSAnDRA: Kazakh Sentiment Analysis Dataset of Reviews and Attitudes
This paper presents KazSAnDRA, a dataset developed for Kazakh sentiment analysis that is the first and largest publicly available dataset of its kind.
KazParC: Kazakh Parallel Corpus for Machine Translation
We introduce KazParC, a parallel corpus designed for machine translation across Kazakh, English, Russian, and Turkish.
A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract
Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms.
A Central Asian Food Dataset for Personalized Dietary Interventions
Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms.
KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics
We present an expanded version of our previously released Kazakh text-to-speech (KazakhTTS) synthesis corpus.
KazNERD: Kazakh Named Entity Recognition Dataset
We present the development of a dataset for Kazakh named entity recognition.
A Study of Multimodal Person Verification Using Audio-Visual-Thermal Data
In this paper, we study an approach to multimodal person verification using audio, visual, and thermal modalities.
A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and English
Our best monolingual and multilingual models achieved 20. 9% and 20. 5% average word error rates on the combined test set, respectively.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments
We present a freely available speech corpus for the Uzbek language and report preliminary automatic speech recognition (ASR) results using both the deep neural network hidden Markov model (DNN-HMM) and end-to-end (E2E) architectures.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Input Agnostic Deep Learning for Alzheimer's Disease Classification Using Multimodal MRI Images
Alzheimer's disease (AD) is a progressive brain disorder that causes memory and functional impairments.
End-to-End Deep Fault Tolerant Control
As model-based FTC algorithms for nonlinear systems are often challenging to design, this paper focuses on a new method for FTC in the presence of sensor faults, based on deep learning.
KazakhTTS: An Open-Source Kazakh Text-to-Speech Synthesis Dataset
This paper introduces a high-quality open-source speech synthesis dataset for Kazakh, a low-resource language spoken by over 13 million people worldwide.
SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams
We present SpeakingFaces as a publicly-available large-scale multimodal dataset developed to support machine learning research in contexts that utilize a combination of thermal, visual, and audio data streams; examples include human-computer interaction, biometric authentication, recognition systems, domain transfer, and speech recognition.
A Crowdsourced Open-Source Kazakh Speech Corpus and Initial Speech Recognition Baseline
We present an open-source speech corpus for the Kazakh language.
End-to-End Deep Diagnosis of X-ray Images
As the first step, our system determines whether a submitted image is an X-ray or not.
