5 citations · 11 across the 6 of their papers we have counts for
6 papers
Dolphin-CN-Dialect: Where Chinese Dialects Matter
Yangyang Meng, Huihang Zhong, Guodong Lin +6
We present Dolphin-CN-Dialect, a streaming-capable ASR model with a focus on Chinese and dialect-rich scenarios. Compared to the previous version, Dolphin-CN-Dialect introduces sub…
Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern Languages
Yangyang Meng, Jinpeng Li, Guodong Lin +7
This report introduces Dolphin, a large-scale multilingual automatic speech recognition (ASR) model that extends the Whisper architecture to support a wider range of languages. Our…
Improving Whisper's Recognition Performance for Under-Represented Language Kazakh Leveraging Unpaired Speech and Text
Jinpeng Li, Yu Pu, Qi Sun +1
Whisper and other large-scale automatic speech recognition models have made significant progress in performance. However, their performance on many low-resource languages, such as…
AnoPatch: Towards Better Consistency in Machine Anomalous Sound Detection
Anbai Jiang, Bing Han, Zhiqiang Lv +6
Large pre-trained models have demonstrated dominant performances in multiple areas, where the consistency between pre-training and fine-tuning is the key to success. However, few w…
GigaSpeech 2: An Evolving, Large-Scale and Multi-domain ASR Corpus for Low-Resource Languages with Automated Crawling, Transcription and Refinement
Yifan Yang, Zheshu Song, Jianheng Zhuo +13
The evolution of speech technology has been spurred by the rapid increase in dataset sizes. Traditional speech models generally depend on a large amount of labeled training data, w…
SpeechColab Leaderboard: An Open-Source Platform for Automatic Speech Recognition Evaluation
Jiayu Du, Jinpeng Li, Guoguo Chen +1
In the wake of the surging tide of deep learning over the past decade, Automatic Speech Recognition (ASR) has garnered substantial attention, leading to the emergence of numerous p…