rohansdasogamath/low-resource-speech-recognition-gans

GAN-based framework for improving Automatic Speech Recognition in low-resource languages. # Improving Low-Resource Speech Recognition with GANs ## Overview This project focuses on improving Automatic Speech Recognition (ASR) for low-resource languages using Generative Adversarial Networks (GANs). The goal is to address the challenge of limited speech data by generating high-quality synthetic speech samples and applying advanced augmentation techniques to improve recognition performance. --- ## Problem Statement Many languages lack sufficient speech datasets for training robust Automatic Speech Recognition systems. This project aims to: - Generate synthetic speech data - Improve speech recognition accuracy - Reduce Word Error Rate (WER) - Enhance multilingual speech processing - Support low-resource languages --- ## Key Features - GAN-Based Speech Generation - Multilingual Text-to-Speech (TTS) - CycleGAN-Based Voice Conversion - SpecAugment Data Augmentation - Cross-Lingual Transfer Learning - Automatic Speech Recognition Enhancement --- ## Technologies Used - Python - GANs - Speech Processing - Automatic Speech Recognition (ASR) - CycleGAN - SpecAugment - Multilingual TTS --- ## Methodology ### Data Augmentation - Synthetic Speech Generation - Voice Conversion - SpecAugment Transformations ### Model Enhancement - GAN-Based Data Generation - Cross-Lingual Knowledge Transfer - Multilingual Speech Processing ### ASR Optimization - Improved Training Dataset Diversity - Enhanced Generalization - Reduced Recognition Errors --- ## Results ### Key Achievements - Up to 19% reduction in Word Error Rate (WER) - Improved multilingual speech recognition - Better performance on low-resource languages - Enhanced cross-lingual transfer capability --- ## Applications - Voice Assistants - Speech-to-Text Systems - Multilingual AI Applications - Accessibility Tools - Language Preservation Systems --- ## Future Improvements - Transformer-Based ASR Models - Real-Time Speech Recognition - Additional Language Support - Edge Device Deployment --- …