Author:G Jyothish Lal

Keyphrases

Ablation Analysis, abusive language detection, acoustics speech and signal processing, AI-driven, audio based hate speech detection, audio feature extraction, automatic speech recognition and translation, bayes and random forest classifier classifiers, Bengali, Bengali language, bengali synthesis, cloning with a few samples, Cross-lingual language model, data sourced from youtube, detecting hate speech, encoder synthesizer and vocoder, encoder synthesizer and vocoder components, feature extraction, hate and non hate speech, hate speech detection, language on social media, large bengali speech recognition dataset, logistic regression, low-resource language, low resource languages like bengali, Machine Learning Classifiers, Macro Accuracy, Mean Opinion Score, Mel-spectrogram, Mel Spectrograms, mozilla common voice bengali dataset, Multiclass Classification, Multimodal Hate Speech Detection, naive bayes and random forest classifier, Non hate speech, predicted vs target mel, random forest classifier logistic regression, Random Forest Classifier Model, recognition and translation for low resource, sourced from youtube videos, speaker encoder, speaker s unique voice features, speaker s voice, Speaker specific, speaker text to speech synthesis, speaker verification to multi speaker, Speech and Language Technologies, speech synthesis, text-to-speech, Training and Testing, tts models and vocoder combinations, verification to multi speaker text, Voice Cloning, voice cloning for bengali, Voice replication, vs target mel spectrogram, youtube s hate speech.