New Paper From Apple Hopes to Reduce Error Rates in Speech Recognition Systems
Apple has published a paper on their model Acoustic Model Fusion (AMF) which aims to reduce error rates in speech recognition systems.
AMF integrates an external Acoustic Model with E2E ASR systems, improving the system's ability to accurately recognize speech and reducing Word Error Rates. [ more ]
New Paper From Apple Hopes to Reduce Error Rates in Speech Recognition Systems
Apple has published a paper on their model Acoustic Model Fusion (AMF) which aims to reduce error rates in speech recognition systems.
AMF integrates an external Acoustic Model with E2E ASR systems, improving the system's ability to accurately recognize speech and reducing Word Error Rates. [ more ]
Apple Offers Developers MLX Framework for Machine Learning
Apple has released an open source machine learning framework called MLX on GitHub for building AI models.
MLX is intended to be familiar to deep learning researchers and provides tools for text generation, image generation, and speech recognition on Apple silicon. [ more ]