On-the-fly data loader and utterance-level aggregation for speaker and language recognition
In this article, our recent efforts on directly modeling utterance-level aggregation for speaker
and language recognition is summarized. First, an on-the-fly data loader for efficient network …
and language recognition is summarized. First, an on-the-fly data loader for efficient network …
An overview of Indian spoken language recognition from machine learning perspective
Automatic spoken language identification (LID) is a very important research field in the era of
multilingual voice-command-based human-computer interaction. A front-end LID module …
multilingual voice-command-based human-computer interaction. A front-end LID module …
Short utterance based speech language identification in intelligent vehicles with time-scale modifications and deep bottleneck features
Z Ma, H Yu, W Chen, J Guo - IEEE transactions on vehicular …, 2018 - ieeexplore.ieee.org
Conversations in the intelligent vehicles are usually short utterance. As the durations of the
short utterances are small (eg, less than 3 s), it is difficult to learn sufficient information to …
short utterances are small (eg, less than 3 s), it is difficult to learn sufficient information to …
AP20-OLR challenge: Three tasks and their baselines
This paper introduces the fifth oriental language recognition (OLR) challenge AP20-OLR,
which intends to improve the performance of language recognition systems, along with …
which intends to improve the performance of language recognition systems, along with …
[PDF][PDF] An End-to-End Dialect Identification System with Transfer Learning from a Multilingual Automatic Speech Recognition Model.
In this paper, we propose an end-to-end (E2E) dialect identification system trained using
transfer learning from a multilingual automatic speech recognition (ASR) model. This is also …
transfer learning from a multilingual automatic speech recognition (ASR) model. This is also …
AP19-OLR challenge: Three tasks and their baselines
This paper introduces the fourth oriental language recognition (OLR) challenge AP19-OLR,
including the data profile, the tasks and the evaluation principles. The OLR challenge has …
including the data profile, the tasks and the evaluation principles. The OLR challenge has …
PHO-LID: A unified model incorporating acoustic-phonetic and phonotactic information for language identification
We propose a novel model to hierarchically incorporate phoneme and phonotactic
information for language identification (LID) without requiring phoneme annotations for …
information for language identification (LID) without requiring phoneme annotations for …
Olr 2021 challenge: Datasets, rules and baselines
B Wang, W Hu, J Li, Y Zhi, Z Li, Q Hong… - 2021 Asia-Pacific …, 2021 - ieeexplore.ieee.org
This paper introduces the sixth Oriental Language Recognition (OLR) 2021 Challenge,
which intends to improve the performance of language recognition systems and speech …
which intends to improve the performance of language recognition systems and speech …
Deep joint learning for language recognition
L Li, Z Li, Y Liu, Q Hong - Neural Networks, 2021 - Elsevier
Deep learning methods for language recognition have achieved promising performance.
However, most of the studies focus on frameworks for single types of acoustic features and …
However, most of the studies focus on frameworks for single types of acoustic features and …
Curriculum learning based approach for noise robust language identification using DNN with attention
Automatic language identification (LID) in practical environments is gaining a lot of scientific
attention due to rapid developments in multilingual speech processing applications. When …
attention due to rapid developments in multilingual speech processing applications. When …