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voice2json | Command-line tools for speech and intent recognition on Linux

Re-training is fast enough to be done at runtime (usually 5s), even up to millions of possible voice commands. This means you can change referenced slot values or add/remove intents on the fly. All of the available commands are designed to work well in Unix pipelines, typically consuming/emitting plaintext or newline-delimited JSON. Audio input/output is file-based, so you can receive audio from any source. How it Works voice2json needs a description of the voice commands you want to be rec...
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Ask HN: What are some "10x" software product innovations you have experienced?

amazed at how much better the results were than AltaVista and Yahoo Search. + Google Maps in 2004 and dragging the map interactively around. This was a quantum leap beyond Mapquests page reload and reset with cumbersome arrow buttons. This was a paradigm shift that let me explore a geography better than any book atlas. I gave away all my atlases + MS Window Media Players ability to cleanly accelerate playback to 2x,3x,4x of audiobooks and tutorial videos for slow speakers. MS Windows 7 h...
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Running LSTM neural networks on an Imagination NNA

Jan. 08, 2021 Speech recognition has become more relevant in recent years: it enables computers to translate spoken language into text. It can be found in different types of applications, such as translators or closed captioning. An example of this technology is Mozilla’s DeepSpeech, an open-source speech-to-text engine, which uses a model trained by machine learning techniques based on Baidu’s Deep Speech research paper. We are going to provide an overview of how we are running version 0...
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