Parakeet Realtime EOU 120M — CoreML CoreML conversion of nvidia/parakeet realtime eou 120m v1 for streaming speech recognition with end of utterance detection on Apple Silicon. Used by FluidAudio for real time transcription. Models The RNNT pipeline is split into three CoreML models, exported at two chunk sizes: Model Description streaming encoder.mlmodelc FastConformer encoder with loopback state caching decoder.mlmodelc 1 layer LSTM decoder (640 hidden units) joint decision.mlmodelc Joint network for token prediction + EOU detection Chunk Size Variants Variant Latency WER (test clean) RTFx (M2) 160ms/ 160ms 8.29% 4.78x 320ms/ 320ms 4.87% 12.48x Benchmarked on LibriSpeech test clean (2620 files, 5.40h audio) on Apple M2. Usage with FluidAudio CLI Transcribe a file swift run fluidaudio parakeet eou input audio.wav Benchmark swift run c release fluidaudio parakeet eou benchmark chunk size 320 Architecture 120M parameter RNNT (Recurrent Neural Network Transducer) with: Encoder: 17 layer FastConformer with cache aware streaming Decoder: 1 layer LSTM, 640 hidden size Joint: Linear projection with 1027 output classes (1024 tokens + EOU token + SOS + blank) EOU token: ID 1024 signals end…
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