Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The majority of state-of-the-art speech recognition systems make use of system combination. The combination approaches adopted have traditionally been tuned to minimising word error rates (WERs). In recent years there has been a growing interest in taking the output from speech recognition systems in one language and translating it into another.  investigates the use of cross-site combination approaches in terms of both WER and impact on translation performance. In addition, the stages involved in modifying the output from a speech-to-text (STT) system to be suitable for translation are described. Two source languages, Mandarin and Arabic, are recognised and then translated using a phrase-based statistical machine translation system into English. Performance of individual systems and cross-site combination using cross-adaptation and ROVER are given. Results show that the best STT combination scheme in terms of WER is not necessarily the most appropriate when translating speech.
['Mark J. F. Gales', 'Xunying Liu', 'Rohit Sinha 0002', 'Philip C. Woodland', 'Kai Yu', 'Spyros Matsoukas', 'Tim Ng', 'Kham Nguyen', 'Long Nguyen', 'Jean-Luc Gauvain', 'Lori Lamel', 'Abdelkhalek Messaoudi']
I am writing a research paper on a idea Speech Recognition System Combination for Machine Translation
[{"from": "human", "value": "I am writing a research paper on a idea Speech Recognition System Combination for Machine Translation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The majority of state-of-the-art speech recognition systems make use of system combination. The combination approaches adopted have traditionally been tuned to minimising word error rates (WERs). In recent years there has been a growing interest in taking the output from speech recognition systems in one language and translating it into another.  investigates the use of cross-site combination approaches in terms of both WER and impact on translation performance. In addition, the stages involved in modifying the output from a speech-to-text (STT) system to be suitable for translation are described. Two source languages, Mandarin and Arabic, are recognised and then translated using a phrase-based statistical machine translation system into English. Performance of individual systems and cross-site combination using cross-adaptation and ROVER are given. Results show that the best STT combination scheme in terms of WER is not necessarily the most appropriate when translating speech."}]