- Improving N|Best Rescoring in Under|Resourced Code|Switched ...🔍
- Improving Under|Resourced Code|Switched Speech Recognition🔍
- arXiv:2409.00217v2 [cs.CL] 8 Sep 2024🔍
- Article Versions Notes🔍
- Which model is best to used for language model rescoring for ASR🔍
- Improving N|gram Language Modeling for Code|switching Speech ...🔍
- arXiv:2306.08133v2 [eess.AS] 5 Sep 2023🔍
- Automatic Speech Recognition of Code Switching Speech Using 1 ...🔍
Improving N|Best Rescoring in Under|Resourced Code|Switched ...
Improving N-Best Rescoring in Under-Resourced Code-Switched ...
In this study, we present improvements in N-best rescoring of code-switched speech achieved by n-gram augmentation as well as optimised pretraining of long ...
Improving N-Best Rescoring in Under-Resourced Code-Switched ...
We present improvements in n-best rescoring of code-switched speech achieved by n-gram augmentation as well as optimised pretraining of long ...
Improving N-Best Rescoring in Under-Resourced Code-Switched ...
Improving N-Best Rescoring in Under-Resourced Code-Switched Speech Recognition Using Pretraining and Data Augmentation · 4 Citations · 29 References.
Improving Under-Resourced Code-Switched Speech Recognition
We show a clear reduction in absolute word error rate of 0.17% for the adapted LSTM language model compared to M-BERT when employed in n-best rescoring ...
Improving N-Best Rescoring in Under-Resourced Code-Switched ...
In this study, we present improvements in N-best rescoring of code-switched speech achieved by n-gram augmentation as well as optimised ...
Improving Under-Resourced Code-Switched Speech Recognition
In this study, we present improvements in N-best rescoring of code-switched speech achieved by n-gram augmentation as well as optimised pretraining of long ...
arXiv:2409.00217v2 [cs.CL] 8 Sep 2024
Niesler, “Improving n- best rescoring in under-resourced code-switched speech recognition using pretraining and data augmentation ...
Improving N-Best Rescoring in Under-Resourced Code-Switched Speech Recognition Using Pretraining and Data Augmentation. Languages 2022, 7 ...
Which model is best to used for language model rescoring for ASR
Write better code with AI · Security. Find and fix vulnerabilities ... You switched accounts on another tab or window. Reload to refresh ...
Improving N-gram Language Modeling for Code-switching Speech ...
They are defined differently because we want to have more insights on the actual performance change under different code-switching scenarios. ... N-best rescoring.
arXiv:2306.08133v2 [eess.AS] 5 Sep 2023
The authors in [7] propose the use of pseudo-likelihood scores and show that rescoring N-best hypotheses from an ASR model can yield sig-.
Automatic Speech Recognition of Code Switching Speech Using 1 ...
The proposed method consists of two phases: automatic speech recognition, and rescoring. The framework uses parallel automatic speech recognizers for speech ...
code-switched language modelling using a code predictive lstm in
When used for both data augmentation and n-best rescoring, our code predictive ... lingual code-switched speech in under-resourced lan- guages,” in Proc ...
Improving code-switching speech recognition with data ... - apsipa
One of the advantages from KALDI is the resulting output of the RNNLM-based lattice rescoring is not N-best utterances, ... under Project (Grant No.
Investigations on speech recognition systems for low-resource ...
In this paper, we present our work on code-switched Egyptian Arabic–English ASR. ... Automatic speech recognition of code switching speech using 1-best rescoring.
Improving Low Resource Code-Switched ASR Using Augmented ...
Using TTS samples as-is could lead to over-fitting on artefacts in the TTS data. The main ques- tion of interest in this work is how to best leverage a fixed ...
Improving Code-switched ASR with Linguistic Information
Integrating n-best smt outputs into a tm sys- tem. He, Yifan and Ma ... In. Spoken Language Technologies for Under-Resourced. Languages.
ADAPTATION, CONTEXT-AWARE MODELING AND RESCORING ...
improves performance under the two speaker mode. ... Both the non-iterative and iterative lattice rescoring methods obtain better recognition performance than N- ...
Second-pass language models that rescore automatic-speech-recognition hypotheses benefit from multitask training on natural-language-understanding ...
Code-switched automatic speech recognition in five South African ...
2023, CALCS 2023 - Computational Approaches to Linguistic Code-Switching, Proceedings of the Workshop. Improving N-Best Rescoring in Under-Resourced Code- ...