انت هنا الان : شبكة جامعة بابل > موقع الكلية > نظام التعليم الالكتروني > مشاهدة المحاضرة

DSP2

n     Another large class of digital speech processing applications is concerned with the automatic extraction of information from the speech signal. Most such systems involve some sort of pattern matching. Figure  shows a block diagram of a generic approach to pattern matching problems in speech processing. Such problems include the following: speech recognition, where the object is to extract the message from the speech signal.

n     speaker recognition, where the goal is to identify who is speaking; speaker verification, where the goal is to verify a speaker’s claimed identity from analysis of their speech

n     signal; word spotting, which involves monitoring a speech signal for the occurrence of specified words or phrases; and automatic indexing of speech recordings based on recognition (or spotting) of spoken keywords.

n     Another major speech application that has long been a dream of speech researchers is automatic language translation. The goal of language translation systems is to convert spoken words in one language to spoken words in another language so as to facilitate natural language voice dialogues between people speaking different languages. Language translation technology requires speech synthesis systems that work in both languages, along with speech recognition (and generally natural language understanding) that also works for both languages; hence it is a very difficult task and one for which only limited progress has been made. When such systems exist, it will be possible for people speaking different languages to communicate at data rates on the order of that of printed text reading!