Long Form

Long-form speech recognition aims to accurately transcribe extended audio recordings, addressing challenges posed by the length and complexity of such data. Current research focuses on improving existing models like Conformers and Neural Transducers, often incorporating techniques like large language model (LLM) integration and memory augmentation to handle long-range dependencies and reduce errors. These advancements are crucial for improving the accuracy and efficiency of speech-to-text systems in various applications, including transcription of lectures, meetings, and other extended audio content. Furthermore, research is actively exploring methods to mitigate issues like long-form deletion and train-test data mismatch.