Wiki-En-ASR-Adapt: Large-scale synthetic dataset for English ASR Customization
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Abstract (arXiv)
We present a first large-scale public synthetic dataset for contextual spellchecking customization of automatic speech recognition (ASR) with focus on diverse rare and out-of-vocabulary (OOV) phrases, such as proper names or terms. The proposed approach allows creating millions of realistic examples of corrupted ASR hypotheses and simulate non-trivial biasing lists for the customization task. Furthermore, we propose injecting two types of ``hard negatives" to the simulated biasing lists in training examples and describe our procedures to automatically mine them. We report experiments with training an open-source customization model on the proposed dataset and show that the injection of hard negative biasing phrases decreases WER and the number of false alarms.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 23 of its 31 references that are in the map. First posted on arXiv 29 Sep 2023.
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References · 23
- 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 4,057
- 2020Conformer: Convolution-augmented Transformer for Speech Recognitioncited by 1,863
- 2020HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesiscited by 1,154
- 2019NeMo: a toolkit for building AI applications using Neural Modulescited by 235
- 2020FastPitch: Parallel Text-to-speech with Pitch Predictioncited by 151
- 2018Deep context: end-to-end contextual speech recognitioncited by 137
- 2023Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognitioncited by 124
- 2019QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutionscited by 94
- 2020Contextual RNN-T For Open Domain ASRcited by 85
- 2021SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognitioncited by 78
- 2022Contextual Adapters for Personalized Speech Recognition in Neural Transducerscited by 57
- 2021Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Modelscited by 56
11 more
- 2021Context-Aware Transformer Transducer for Speech Recognitioncited by 56
- 2019Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entitiescited by 41
- 2018Contextual Speech Recognition with Difficult Negative Training Examplescited by 28
- 2021Personalization Strategies for End-to-End Speech Recognition Systemscited by 26
- 2022Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition Systemscited by 17
- 2022Improving Contextual Recognition of Rare Words with an Alternate Spelling Prediction Modelcited by 17
- 2023Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generatorcited by 11
- 2023Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognitioncited by 8
- 2022UserLibri: A Dataset for ASR Personalization Using Only Textcited by 6
- 2023SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappingscited by 4
- 2023Adapting an Unadaptable ASR Systemcited by 3
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