Search Results for author:
Found 5 papers, 1 papers with code
Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM
Our main contribution is that the speech input and output modalities can be easily connected to a textual LLM while keeping the LLM's parameters frozen throughout the training process.
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition
Accents represent deviations from standard pronunciation norms, and the multi-task learning framework for simultaneous ASR and accent recognition (AR) has effectively addressed the multi-accent scenarios, making it a prominent solution.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Unveiling the Potential of LLM-Based ASR on Chinese Open-Source Datasets
Building upon this momentum, our research delves into an in-depth examination of this paradigm on a large open-source Chinese dataset.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR
The recently proposed serialized output training (SOT) simplifies multi-talker automatic speech recognition (ASR) by generating speaker transcriptions separated by a special token.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
CASA-ASR: Context-Aware Speaker-Attributed ASR
In addition, a two-pass decoding strategy is further proposed to fully leverage the contextual modeling ability resulting in a better recognition performance.
