Search Results for author:
Found 7 papers, 2 papers with code
Technical Report: Competition Solution For BetterMixture
In the era of flourishing large-scale models, the challenge of selecting and optimizing datasets from the vast and complex sea of data, to enhance the performance of large language models within the constraints of limited computational resources, has become paramount.
ChatHome: Development and Evaluation of a Domain-Specific Language Model for Home Renovation
This paper presents the development and evaluation of ChatHome, a domain-specific language model (DSLM) designed for the intricate field of home renovation.
GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio
This paper introduces GigaSpeech, an evolving, multi-domain English speech recognition corpus with 10, 000 hours of high quality labeled audio suitable for supervised training, and 40, 000 hours of total audio suitable for semi-supervised and unsupervised training.
Ranked #1 on
Speech Recognition
on GigaSpeech
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition
Augmentation related issues, such as comparison of different strategies and ratios for data combination are also investigated.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
DiDiSpeech: A Large Scale Mandarin Speech Corpus
This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech.
Audio and Speech Processing
Towards End-to-End Code-Switching Speech Recognition
Code-switching speech recognition has attracted an increasing interest recently, but the need for expert linguistic knowledge has always been a big issue.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A comparable study of modeling units for end-to-end Mandarin speech recognition
We find that all types of modeling units can achieve approximate character error rate (CER) in CTC model and the performance of Chinese character attention model is better than syllable attention model.
