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AI/ML2024
EchoAI-MLX
Fine-tuned Whisper on Apple Silicon
PythonMLXWhisperApple Silicon
Problem
Cloud-based speech recognition has latency, privacy, and cost issues. On-device models need optimization for specific hardware and use cases.
Approach
Used Apple's MLX framework to fine-tune Whisper on domain-specific audio data. Optimized for Apple Silicon GPU and Neural Engine. Benchmarking against base Whisper models for accuracy and speed.
Result
Fine-tuned Whisper on Apple Silicon using MLX. Benchmarked against base models for accuracy and speed on domain-specific audio.