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Transcribe.cpp: Run Modern Offline Speech-to-Text with GGML, GPU Backends, and Verified Accuracy
speech recognition & local ai Jul 19, 2026 7 min read

Transcribe.cpp: Run Modern Offline Speech-to-Text with GGML, GPU Backends, and Verified Accuracy

Transcribe.cpp is a ggml-based, GPU-accelerated offline speech-to-text engine that runs GGUF models across backends like Metal, Vulkan, and CUDA. It supports both streaming and batch transcription and emphasizes numerical verification and WER testing for trusted accuracy.

by ahsan
#asr #ggml #offline-inference #speech-to-text #vulkan
Apple’s SpeechAnalyzer vs Whisper: what the on-device benchmark really means
machine learning & speech Jul 13, 2026 6 min read

Apple’s SpeechAnalyzer vs Whisper: what the on-device benchmark really means

Apple’s new SpeechAnalyzer (iOS/macOS 26) is benchmarked against Whisper and legacy SFSpeechRecognizer on LibriSpeech. It cuts WER dramatically versus the old engine and also beats Whisper Small on English while running about 3× faster.

by ahsan
#apple speech #benchmarking #speech-to-text #wer #whisper

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