AudioWorkletStream VS webtransport

// Exits half way through reading response when --max-old-space-size=6 is set // Exits immediately when --jitless flag is set // // Usage: // // port.postMessage({ // url: 'https://github.com/guest271314/AudioWorkletStream/raw/master/house--64kbs-0-wav', // method: 'get', // body: null // })

Yes. Fetching a single or multiple files for an infinite stream of audio https://github.com/guest271314/AudioWorkletStream/blob/master/worker.js. Streaming (real-time) audio is non-trivial. Any gaps or glitches in playback will be audible to the user. We could test for expected Float32Arrays. I would suggest complentary manual test in, e.g., WPT to determine audio output does not have gaps or glitches; and renders the expected playback rate.

One way to do that is utilizing Native Messaging on Chromium or Firefox https://github.com/guest271314/native-messaging-espeak-ng, and https://github.com/guest271314/webtransport/blob/main/webTransportEspeakNg.js for some WebTransport experiments. Technically we don't need a local server. We can stream and parse the WAV directly and pipe to AudioWorklet or a MediaStreamTrackGenerator https://github.com/guest271314/AudioWorkletStream. The same is true for speech recognition, where audio is piped to the local application and text or JSON piped back. Note also espeak-ng has been compiled to WebAssembly. I created native-messaging-espeak-ng for the ability to pass SSML directly to espeak-ng.

You can stream audio and/or video over HTTP using fetch() https://github.com/guest271314/AudioWorkletStream as long as you know how to parse the codec, if the media is encoded.

Re using a dedicated Worker and AudioWorklet to stream, see, e.g., https://github.com/guest271314/AudioWorkletStream; https://plnkr.co/edit/nECtUZ.

I've only tested Python to create a Native Messaging host https://github.com/guest271314/native-messaging-python and experiment with the deprecated QuicTransport https://github.com/guest271314/quictransport/blob/main/audioworklet-webassembly-memory-grow/quicTransportAudioWorkletMemoryGrow.js and WebTransport https://github.com/guest271314/webtransport.

One way to do that is utilizing Native Messaging on Chromium or Firefox https://github.com/guest271314/native-messaging-espeak-ng, and https://github.com/guest271314/webtransport/blob/main/webTransportEspeakNg.js for some WebTransport experiments. Technically we don't need a local server. We can stream and parse the WAV directly and pipe to AudioWorklet or a MediaStreamTrackGenerator https://github.com/guest271314/AudioWorkletStream. The same is true for speech recognition, where audio is piped to the local application and text or JSON piped back. Note also espeak-ng has been compiled to WebAssembly. I created native-messaging-espeak-ng for the ability to pass SSML directly to espeak-ng.

Yes, I am currently using https://github.com/guest271314/webtransport/blob/main/quic_transport_server_tts.py#L138.

You can use WebTransport in the browser (Chromium; Chrome) to run arbitrary Python (or other language the OS supports), e.g., see https://github.com/guest271314/webtransport.