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node.js library for streaming audio and speech from the microphone.","homepage":"https://github.com/serenadeai/speech-recorder#readme","repository":{"type":"git","url":"git+https://github.com/serenadeai/speech-recorder.git"},"author":{"name":"Serenade"},"bugs":{"url":"https://github.com/serenadeai/speech-recorder/issues"},"license":"MIT","readme":"# Speech Recorder\n\nspeech-recorder is a cross-platform, native [node.js](https://nodejs.org) [addon](http://nodejs.org/api/addons.html) for getting a stream of audio from a device's microphone. Using speech-recorder, you can also get only the audio that corresponds to someone speaking.\n\nThis module is used for speech recognition in [Serenade](https://serenade.ai). Serenade enables you to write code through natural speech, rather than typing.\n\n## Installation\n\nspeech-recorder has been tested on Windows 10, macOS 10.14+, and Ubuntu 18.04+ (and may work on other platforms as well).\n\nTo install speech-recorder, run:\n\n    yarn add speech-recorder\n\nIf you're using this library with Electron, you should probably use [electron-rebuild](https://github.com/electron/electron-rebuild).\n\n## Usage\n\nThis library uses two voice activity detection mechanisms: a fast first pass (the WebRTC VAD), and a slightly slower, but much more accurate, second pass (the Silero VAD). See below for the various options you can supply to each.\n\n### Streaming\n\nWhen you start recording, you can register various callbacks. `onAudio` is called when any audio comes in from the microphone. `onChunkStart` is called when a chunk of speech begins, and `onChunkEnd` is called when speech ends.\n\n    const { SpeechRecorder } = require(\"speech-recorder\");\n\n    const recorder = new SpeechRecorder({\n      onChunkStart: ({ audio }) => {\n        console.log(Date.now(), \"Chunk start\");\n      },\n      onAudio: ({ speaking, probability, volume }) => {\n        console.log(Date.now(), speaking, probability, volume);\n      },\n      onChunkEnd: () => {\n        console.log(Date.now(), \"Chunk end\");\n      },\n    });\n\n    console.log(\"Recording for 5 seconds...\");\n    recorder.start();\n    setTimeout(() => {\n      console.log(\"Done!\");\n      recorder.stop();\n    }, 5000);\n\nYou can write all audio from the microphone to a file with:\n\n    const { SpeechRecorder } = require(\"speech-recorder\");\n\n    const writeStream = fs.createWriteStream(\"audio.raw\");\n    const recorder = new SpeechRecorder({\n      onAudio: ({ audio }) => {\n        writeStream.write(audio);\n      }\n    });\n\nOr, just the speech with:\n\n    const { SpeechRecorder } = require(\"speech-recorder\");\n\n    const writeStream = fs.createWriteStream(\"audio.raw\");\n    const recorder = new SpeechRecorder({\n      onAudio: ({ audio, speech }) => {\n        if (speech) {\n          writeStream.write(audio);\n        }\n      }\n    });\n\n### Devices\n\nYou can get a list of supported devices with:\n\n    const { devices } = require(\"speech-recorder\");\n\n    console.log(devices());\n\n### Options\n\n* `consecutiveFramesForSilence`: How many frames of audio must be silent before `onChunkEnd` is fired. Default `10`.\n* `consecutiveFramesForSpeaking`: How many frames of audio must be speech before `onChunkStart` is fired. Default `1`.\n* `leadingBufferFrames`: How many frames of audio to keep in a buffer that's included in `onChunkStart`. Default `10`.\n* `onChunkStart`: Callback to be executed when speech starts.\n* `onAudio`: Callback to be executed when any audio comes in.\n* `onChunkEnd`: Callback to be executed when speech ends.\n* `samplesPerFrame`: How many audio samples to be included in each frame from the microphone. Default `480`.\n* `sampleRate`: Audio sample rate. Default `16000`.\n* `sileroVadBufferSize`: How many audio samples to pass to the VAD. Default `2000`.\n* `sileroVadRateLimit`: Rate limit, in frames, for how frequently to call the VAD. Default `3`.\n* `sileroVadSilenceThreshold`: Probability threshold for speech to transition to silence. Default `0.1`.\n* `sileroVadSpeakingThreshold`: Probability threshold for silence to transition to speech. Default `0.3`.\n* `webrtcVadLevel`: Aggressiveness for the first-pass VAD filter. `0` is least aggressive, and `3` is most aggressive. Default `3`.\n* `webrtcVadBufferSize`: How many audio samples to pass to the first-pass VAD filter. Default `480`. Can only be `160`, `320`, or `480`.\n* `webrtcVadResultsSize`: How many first-pass VAD filter results to keep in history. Default `10`.\n\n## Building SpeechRecorder\n\nIf you want to build speech-recorder from source, first install the necessary dependencies by running:\n\n    ./setup.sh <arch>\n\nWhere `<arch>` specifies the architecture you'd like to build for and is one of `x86`, `x64`, or `arm64`. If you're not sure, you probably want `x64`.\n\nThen, you can build speech-recorder with:\n\n    ./build.sh <arch>\n","readmeFilename":"README.md"}