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W

Winner Admasu

Speech Emotion Detection Deep Learning Developer

Emirate flagAl Ain, Emirate
Intermediate

Key Skills

Software

No software listed

Top Subject Matter

Speech Emotion Detection for Mental Health
Sentiment Analysis for Social Media

Top Data Types

AudioAudio
TextText
ImageImage

Top Task Types

Emotion RecognitionEmotion Recognition
ClassificationClassification

Freelancer Overview

Speech Emotion Detection Deep Learning Developer. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Keras and Pytorch. Education includes Doctor of Philosophy, Khalifa University (2029) and Bachelor of Science, UAE University Al Ain (2024). AI-training focus includes data types such as Audio and Text and labeling workflows including Emotion Recognition and Classification.

Intermediate

Labeling Experience

Speech Emotion Detection Deep Learning Developer

AudioEmotion Recognition
Developed and trained a deep learning model to classify emotional states from speech data as part of a mental health application. Enhanced the emotion recognition process through techniques like noise injection and pitch alteration, utilizing MFCC and MelSpectrogram features. Oversaw the training of a CNN model to categorize various emotions within audio samples. • Labeled and preprocessed speech samples for emotional states. • Extracted important acoustic features for use in training. • Supervised model training and performance evaluations. • Classified multiple emotional states to improve model accuracy.

Developed and trained a deep learning model to classify emotional states from speech data as part of a mental health application. Enhanced the emotion recognition process through techniques like noise injection and pitch alteration, utilizing MFCC and MelSpectrogram features. Oversaw the training of a CNN model to categorize various emotions within audio samples. • Labeled and preprocessed speech samples for emotional states. • Extracted important acoustic features for use in training. • Supervised model training and performance evaluations. • Classified multiple emotional states to improve model accuracy.

2024 - Present

Deep Learning Sentiment Analysis Project

TextClassification
Executed exploratory data analysis and preprocessing on the Twitter emotions dataset for BERT sentiment classification. Tokenized, encoded, and prepared textual data for model fine-tuning. Led the end-to-end labeling and classification workflow leveraging deep learning on sentiment tasks. • Prepared training data by tokenizing tweets for sentiment classification. • Fine-tuned BERT model using supervised text labels. • Evaluated model accuracy across labeled validation datasets. • Conducted error analysis to refine label schema and predictions.

Executed exploratory data analysis and preprocessing on the Twitter emotions dataset for BERT sentiment classification. Tokenized, encoded, and prepared textual data for model fine-tuning. Led the end-to-end labeling and classification workflow leveraging deep learning on sentiment tasks. • Prepared training data by tokenizing tweets for sentiment classification. • Fine-tuned BERT model using supervised text labels. • Evaluated model accuracy across labeled validation datasets. • Conducted error analysis to refine label schema and predictions.

2024 - 2024

Education

K

Khalifa University

Doctor of Philosophy, Electrical and Computer Engineering

Doctor of Philosophy
2025 - 2029
U

UAE University Al Ain

Bachelor of Science, Computer Science

Bachelor of Science
2020 - 2024

Work History

U

UAE University

Researcher – Speech Emotion Detection

Al Ain
2024 - Present
E

Etihad Airways

Data Science Intern

Abu Dhabi
2024 - 2024