
ASR Inference with CTC Decoder - PyTorch
ASR Inference with CTC Decoder¶ Author: Caroline Chen. This tutorial shows how to perform speech recognition inference using a CTC beam search decoder with lexicon constraint and KenLM language model support. We demonstrate this on a pretrained wav2vec 2.0 model trained using CTC loss. Overview¶
pengzhendong/asr-decoder: CTC decoder with hotwords for ASR…
CTC decoder with hotwords for ASR models. Supports ctc_greedy_search and ctc_prefix_bream_search decoding methods.
Automatic Speech Recognition using CTC - Keras
Sep 26, 2021 · This demonstration shows how to combine a 2D CNN, RNN and a Connectionist Temporal Classification (CTC) loss to build an ASR. CTC is an algorithm used to train deep neural networks in speech recognition, handwriting recognition and other sequence problems.
ASR Inference with CTC Decoder - Google Colab
This tutorial shows how to perform speech recognition inference using a CTC beam search decoder with lexicon constraint and KenLM language model support. We demonstrate this on a pretrained...
GitHub - Diamondfan/CTC_pytorch: CTC end -to-end ASR for …
This is a CTC-based speech recognition system with pytorch. At present, the system only supports phoneme recognition. You can also do it at word-level and may get a high error rate. Another way is to decode with a lexcion and word-level language model using WFST which is not included in this system.
ASR Inference with CUDA CTC Decoder - PyTorch
In this tutorial, we will construct a CUDA beam search decoder. The decoder can be constructed using the factory function cuda_ctc_decoder(). Now that we have the data, acoustic model, and decoder, we can perform inference.
A ctc decoder for both online and offline asr model - GitHub
We adapted this ctc decoder from here. This decoder can only run on cpu. continuous decoding for streaming asr; support kenlm language model; multiprocessing; To install the decoder:
ASR Inference with CTC Decoder - PyTorch
ASR Inference with CTC Decoder¶ Author: Caroline Chen. This tutorial shows how to perform speech recognition inference using a CTC beam search decoder with lexicon constraint and KenLM language model support. We demonstrate this on a pretrained wav2vec 2.0 model trained using CTC loss. Overview¶
asr_inference_with_ctc_decoder_tutorial.py - GitHub
""" ASR Inference with CTC Decoder ============================== **Author**: `Caroline Chen <carolinechen@meta.com>`__ This tutorial shows how to perform speech recognition inference using a CTC beam search decoder with lexicon constraint and KenLM language model support.
ASR Inference with CUDA CTC Decoder - Google Colab
ASR Inference with CUDA CTC Decoder Author : Yuekai Zhang _ This tutorial shows how to perform speech recognition inference using a CUDA-based CTC beam search decoder.
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