Tensorflow will run on the V5 right now using the ARM64 backend, it just runs slowly. You can also run it on your desktop using the GPU in your graphics card. Depending on how the V5 AI hardware works, it may be possible to train the network on your desktop GPU and then only run the trained network on the V5. That will greatly speed up the training process.
The V5 hardware may actually be quite good at voice recognition once it is possible to train it on new models. You think audio is one dimensional but when you use a neural network on audio you first compute the FFT, doing that turns the recording into 2D data similar to an image, and the V5 has image processing hardware! This tensorflow article shows the technique. https://www.tensorflow.org/tutorials/seq...ecognition
The V5 hardware may actually be quite good at voice recognition once it is possible to train it on new models. You think audio is one dimensional but when you use a neural network on audio you first compute the FFT, doing that turns the recording into 2D data similar to an image, and the V5 has image processing hardware! This tensorflow article shows the technique. https://www.tensorflow.org/tutorials/seq...ecognition