In this paper, we propose to use a high rank projection layer to replace the projection matrix. The output from the high rank projection layer is a weighted ...
In this paper, a high rank projection layer is proposed to replace the bottleneck projection matrix in conventional LSTM-CTC based models for E2E speech ...
The proposed high rank projection layer is able to improve the expressiveness of LSTM-CTC models and outperform other published CTC based end-to-end (E2E) ...
Mobvoi E2E speech recognition (MOE) uses high rank LSTM-CTC based models. The toolkit is inspired by Kaldi and EESEN.
... These models effectively capture long-distance dependency relationships in audio sequences. Combining them with the CTC approach has yielded remarkable ...
People also ask
What is CTC speech recognition?
What are end to end models for speech recognition?
What is the difference between front end speech recognition and back end speech recognition?
What is a benefit of using front end speech recognition software?
4.7K subscribers in the textdatamining community. Welcome to /r/TextDataMining! We share news, discussions, papers, tutorials, libraries, and tools…
This paper investigates the impact of word-based RNN language models (RNN-LMs) on the performance of end-to-end automatic speech recognition (ASR). In our prior ...
Speech Processing: Large Vocabulary Continuous Recognition/Search. Paper Title: END-TO-END SPEECH RECOGNITION USING A HIGH RANK LSTM-CTC BASED MODEL.
Apr 11, 2022 · The results show that, compared with the traditional recognition model, the accuracy of the improved end-to-end model is improved by about 2.4%.
Missing: High Rank
Oct 15, 2024 · This study explores the feasibility of constructing a small-scale speech recognition system capable of competing with larger, modern automated speech ...