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Update FluidAudio (#1880)
Co-authored-by: Viktor Peschenkov <3672477+vpeschenkov@users.noreply.github.com>
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README.md

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* [Beethoven](https://github.com/vadymmarkov/Beethoven) - An audio processing library for pitch detection of musical signals.
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* [FDSoundActivatedRecorder](https://github.com/fulldecent/FDSoundActivatedRecorder) - Start recording when the user speaks.
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* [FDWaveformView](https://github.com/fulldecent/FDWaveformView) - An easy way to display an audio waveform in your app.
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* [FluidAudio](https://github.com/FluidInference/FluidAudio) - SDK for real-time speaker diarization and identification on iOS/macOS, with CoreML models converted directly from PyTorch to leverage Apple Neural Engine for better performance on older devices.
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* [FluidAudio](https://github.com/FluidInference/FluidAudio) - SDK for real-time on-device audio intelligence on iOS/macOS (diarization, identification, VAD, separation, embeddings, ASR), with CoreML models converted directly from PyTorch to leverage Apple Neural Engine performance.
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* [ModernAVPlayer](https://github.com/noreasonprojects/ModernAVPlayer) - Persistence AVPlayer to resume playback after bad network connection even in background mode.
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* [MusicKit](https://github.com/0thernet/MusicKit) - A framework for composing and transforming music.
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* [Soundable](https://github.com/lcardevnas/Soundable) - Soundable allows you to play sounds, single and in sequence, in a very easy way.
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### Contributing
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Please take a quick look at the [contribution guidelines](.github/CONTRIBUTING.md) first. If you see a package or project here that is no longer maintained or is not a good fit, please submit a pull request to improve this file. Thank you to all [contributors](https://github.com/matteocrippa/awesome-swift/graphs/contributors); you rock!!
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Please take a quick look at the [contribution guidelines](.github/CONTRIBUTING.md) first. If you see a package or project here that is no longer maintained or is not a good fit, please submit a pull request to improve this file. Thank you to all [contributors](https://github.com/matteocrippa/awesome-swift/graphs/contributors); you rock!!

contents.json

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{
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"title":"FluidAudio",
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"category":"audio",
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"description":"SDK for real-time speaker diarization and identification on iOS/macOS, with CoreML models converted directly from PyTorch to leverage Apple Neural Engine for better performance on older devices.",
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"description":"SDK for real-time on-device audio intelligence on iOS/macOS (diarization, identification, VAD, separation, embeddings, ASR), with CoreML models converted directly from PyTorch to leverage Apple Neural Engine performance.",
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"homepage":"https://github.com/FluidInference/FluidAudio"
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},
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{

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