Large Vocabulary Continuous Speech Recognition

10 papers with code • 0 benchmarks • 0 datasets

This task has no description! Would you like to contribute one?

Datasets


Latest papers without code

Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy

3 Feb 2021

Our results show a strong dependency of word accuracy on the Number of Filters of convolutional layers.

End-To-End Speech Recognition Language Modelling +2

Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition

30 Oct 2020

To join the advantages of classical and end-to-end approaches for speech recognition, we present a simple, novel and competitive approach for phoneme-based neural transducer modeling.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

Future Vector Enhanced LSTM Language Model for LVCSR

31 Jul 2020

For the speech recognition rescoring, although the proposed LSTM LM obtains very slight gains, the new model seems obtain the great complementary with the conventional LSTM LM.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR

23 Jul 2020

Recurrent Neural Network Language Models (RNNLMs) have started to be used in various fields of speech recognition due to their outstanding performance.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

Tigrinya Automatic Speech recognition with Morpheme based recognition units

WS 2020

Therefore a Tigrinya large vocabulary continuous speech recognition system often has a large number of different units and a high out-of-vocabulary (OOV) rate if a word is used as a recognition unit of a language model (LM) and lexicon.

Language Modelling Large Vocabulary Continuous Speech Recognition +1

Voice trigger detection from LVCSR hypothesis lattices using bidirectional lattice recurrent neural networks

29 Feb 2020

We propose a method to reduce false voice triggers of a speech-enabled personal assistant by post-processing the hypothesis lattice of a server-side large-vocabulary continuous speech recognizer (LVCSR) via a neural network.

Large Vocabulary Continuous Speech Recognition

DFSMN-SAN with Persistent Memory Model for Automatic Speech Recognition

28 Oct 2019

Self-attention networks (SAN) have been introduced into automatic speech recognition (ASR) and achieved state-of-the-art performance owing to its superior ability in capturing long term dependency.

Large Vocabulary Continuous Speech Recognition Speech Recognition

LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring

1 Jul 2019

LSTM based language models are an important part of modern LVCSR systems as they significantly improve performance over traditional backoff language models.

Large Vocabulary Continuous Speech Recognition