Training custom acoustic models for pronunciation analysis, Vectorizing Python code for performance gains in numerical computation
It is essential for high-performance numerical computing in Python, but its benefits can be limited if your workflow requires standard Python data types.
Situations requiring final output in Python-native data structures like tuples, negating some performance gains
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People whose value add was knowing MATLAB toolboxes... got very afraid when Python numpy... came to the forefront.
Hacker News • HackerNews • Use case: Open-source numerical computing library
I started working with speech and audio in 2013, primarily working solo on my own Web application for foreign language pronunciation learning... training my own custom acoustic models for pronunciation analysis in Python with NumPy and Torch.
Hacker News • HackerNews • Use case: Training custom acoustic models for pronunciation analysis
I m in the middle of replacing for loops in Python with vectorized numpy code but most of my efficiency gains are erased because I still need Python tuples in the end.
Hacker News • HackerNews • Use case: Vectorizing Python code for performance gains in numerical computation.
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