The technologies of speech input and output for intelligent human computer interface have been discussed in this paper, including automatic speech recognition (ASR) and text-to-speech (TTS). The researches of ASR and TTS have proceeded for a long time. However, there still exist many unresolved bottlenecks which persuade many researchers to keep working on these issues. The focuses of this paper on ASR include two parts. The first part is about the robustness issue, especially in multiple noise condition models method (MNCMM). The other focus is how to provide the additional information based on acoustic knowledge to improve the recognition performance. Besides, the research trends and progress of TTS will also be discussed in this paper, such as pitch synchronous overlap and add (PSOLA), limited domain TTS, and corpus-based TTS.
ASR HMM Multiple Noise Condition Models Method Duration Model Tone Recognition TTS PSOLA Corpus-Based TTS