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06/27/2023
Confidence-based Ensembles of End-to-End Speech Recognition Models
The number of end-to-end speech recognition models grows every year. The...
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02/27/2023
Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator
We propose an end-to-end ASR system that can be trained on transcribed s...
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10/06/2022
Damage Control During Domain Adaptation for Transducer Based Automatic Speech Recognition
Automatic speech recognition models are often adapted to improve their a...
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04/11/2021
NeMo Toolbox for Speech Dataset Construction
In this paper, we introduce a new toolbox for constructing speech datase...
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04/05/2021
SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition
In the English speech-to-text (STT) machine learning task, acoustic mode...
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09/14/2019
NeMo: a toolkit for building AI applications using Neural Modules
NeMo (Neural Modules) is a Python framework-agnostic toolkit for creatin...
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05/27/2019
Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks
We propose NovoGrad, a first-order stochastic gradient method with layer...
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04/05/2019
Jasper: An End-to-End Convolutional Neural Acoustic Model
In this paper, we report state-of-the-art results on LibriSpeech among e...
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11/02/2018
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation
Building an accurate automatic speech recognition (ASR) system requires ...
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05/25/2018