9-1 Introduction (蝪∩?)

Old Chinese version


In the previous chapter, we have introduced DTW which is ideal for speaker-dependent ASR applications. This is suitable for the retrieval of utterances from the same speaker. A typical example of such applications is name dialing on mobile phones where you need to record your voices first. On the other hand, if we want to have speaker-independent ASR, we need to resort to HMM (Hidden Markov Models) which is a statistic model that requires a massive amount of training data for reliable recognition. Based on the used statistical models, HMM can be classified into two categories:

We shall introduce these two types of HMMs for speech recognition in the following sections.

Data Clustering and Pattern Recognition (資料分群與樣式辨認)