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Found 8 papers, 1 papers with code
Analyzing And Improving Neural Speaker Embeddings for ASR
By further adding neural speaker embeddings, we gain additional ~3% relative WER improvement on Hub5'00.
Enhancing and Adversarial: Improve ASR with Speaker Labels
Detailed analysis and experimental verification are conducted to show the optimal positions in the ASR neural network (NN) to apply speaker enhancing and adversarial training.
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR
Unsupervised representation learning has recently helped automatic speech recognition (ASR) to tackle tasks with limited labeled data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Development of Hybrid ASR Systems for Low Resource Medical Domain Conversational Telephone Speech
Language barriers present a great challenge in our increasingly connected and global world.
Improving the Training Recipe for a Robust Conformer-based Hybrid Model
In this work, we investigate various methods for speaker adaptive training (SAT) based on feature-space approaches for a conformer-based acoustic model (AM) on the Switchboard 300h dataset.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Conformer-based Hybrid ASR System for Switchboard Dataset
The recently proposed conformer architecture has been successfully used for end-to-end automatic speech recognition (ASR) architectures achieving state-of-the-art performance on different datasets.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
On Architectures and Training for Raw Waveform Feature Extraction in ASR
With the success of neural network based modeling in automatic speech recognition (ASR), many studies investigated acoustic modeling and learning of feature extractors directly based on the raw waveform.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention -- w/o Data Augmentation
To the best knowledge of the authors, the results obtained when training on the full LibriSpeech training set, are the best published currently, both for the hybrid DNN/HMM and the attention-based systems.
Ranked #24 on
Speech Recognition
on LibriSpeech test-other
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
