Speech recognition is an interdisciplinary subject. In the past two decades, speech recognition technology has made significant progress and has begun to move from the laboratory to the market. It is expected that in the next 10 years, speech recognition technology will enter various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics.
Speech recognition is an interdisciplinary subject. In the past two decades, speech recognition technology has made significant progress and has begun to move from the laboratory to the market. It is expected that in the next 10 years, speech recognition technology will enter various fields such as industry, home appliances, communications, automotive electronics, medical care, home services, and consumer electronics. Many experts believe that speech recognition technology is one of the ten most important technological development technologies in the field of information technology between 2000 and 2010. In the smart home system, manufacturers have already introduced voice control, and boast that this will be the mainstream direction in the future. In Xiaobian’s view, this view is still early.
There are five main problems with speech recognition:
1. Recognition and understanding of natural language. First, the continuous speech must be decomposed into units such as words and phonemes, and secondly, a rule for understanding semantics should be established.
2. The amount of voice information is large. The speech mode is not only different for different speakers, but also different for the same speaker. For example, a speaker's voice information is different when he speaks casually and speaks seriously. The way a person speaks changes over time.
3. The ambiguity of speech. Different words may sound similar when the speaker is speaking. This is common in English and Chinese.
4. The speech characteristics of a single letter or word or word are affected by the context, so that the accent, pitch, volume, and pronunciation speed are changed.
5. Ambient noise and interference have a serious impact on speech recognition, resulting in a low recognition rate.
Application of speech recognition technology
The application of speech recognition on mobile terminals is the hottest, and voice dialogue robots, voice assistants, and interactive tools are emerging one after another. Many Internet companies have invested in human resources, material resources and financial resources to carry out research and application in this field. Around us, the most familiar is Apple's siri system, which is a very cool feature, but there are very few users who actually use this voice system.
Cutting board
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