Forwarded from Tensorflow(@CVision) (Alireza Akhavan)
#سورس_کد #مقاله
در این روش که چند روز پیش توسط فیس بوک اوپن سورس شده آموزش speech recognition به صورت end-to-end صورت میگیرد .
Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native
https://code.fb.com/ai-research/wav2letter/
CNN architectures are competitive with #recurrent architectures for tasks in which modeling long-range dependencies is important, such as #language_modeling, machine translation, and #speech_synthesis. In end-to-end #speech_recognition, however, recurrent architectures are still more prevalent for both acoustic and language modeling.
در این روش که چند روز پیش توسط فیس بوک اوپن سورس شده آموزش speech recognition به صورت end-to-end صورت میگیرد .
Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native
https://code.fb.com/ai-research/wav2letter/
CNN architectures are competitive with #recurrent architectures for tasks in which modeling long-range dependencies is important, such as #language_modeling, machine translation, and #speech_synthesis. In end-to-end #speech_recognition, however, recurrent architectures are still more prevalent for both acoustic and language modeling.
Engineering at Meta
Open sourcing wav2letter++, the fastest state-of-the-art speech system, and flashlight, an ML library going native
Wav2letter++ is the fastest state-of-the-art end-to-end speech recognition system available. We're also releasing flashlight, a fast, flexible ML library.