2 projects for "speak" with 2 filters applied:

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  • 1
    Periph

    Periph

    Peripherals I/O in Go

    periph is a Go library that unifies hardware I/O on single-board computers and embedded Linux devices, exposing clean interfaces for GPIO, I²C, SPI, UART, PWM, and more. Its philosophy is “no daemon, no codegen”—you link a Go package and speak directly to the hardware via stable abstractions, keeping deployments simple and auditable. The project auto-detects host capabilities at runtime and selects the best driver backend, smoothing over kernel and board differences across Raspberry Pi, BeagleBone, and other platforms. A large set of device drivers (sensors, displays, LED controllers, storage, RTCs) give you batteries-included building blocks for prototypes and production systems. ...
    Downloads: 0 This Week
    Last Update:
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  • 2
    SVoice (Speech Voice Separation)

    SVoice (Speech Voice Separation)

    We provide a PyTorch implementation of the paper Voice Separation

    SVoice is a PyTorch-based implementation of Facebook Research’s study on speaker voice separation as described in the paper “Voice Separation with an Unknown Number of Multiple Speakers.” This project presents a deep learning framework capable of separating mixed audio sequences where several people speak simultaneously, without prior knowledge of how many speakers are present. The model employs gated neural networks with recurrent processing blocks that disentangle voices over multiple computational steps, while maintaining speaker consistency across output channels. Separate models are trained for different speaker counts, and the largest-capacity model dynamically determines the actual number of speakers in a mixture. ...
    Downloads: 1 This Week
    Last Update:
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