1、Table of ContentsVOICE RECOGNITION VS SPEECH RECOGNITIONHow do speech recognition applications work?WHICH TYPE OF AI IS USED IN SPEECH RECOGNITION?WHAT IS IMPORTANT FOR SPEECH RECOGNITION TECHNOLOGY?Automatic Speech Recognition process and componentsOur 4 recommendations for improving quality of ASR

2、1.PAY ATTENTION TO THE SAMPLE RATE2.NORMALIZE RECORDING VOLUME3.IMPROVE RECOGNITION OF SHORT WORDS4.USE NOISE SUPPRESSION METHODS ONLY WHEN NEEDEDGet the enhanced ASR system1Modern voice applications use AI algorithms to recognize different sounds,including human voice and speech.In technical terms,

3、most of the voice appsperform either voice recognition or speech recognition.And while there is no bigdifference between the architecture and AI models that perform voice/speechrecognition,they actually relate to different business tasks.So first of all,let uselaborate on the difference between them

4、.VOICE RECOGNITION VS SPEECH RECOGNITIONVoice recognition is the ability to single out specific voices from other sounds,and identify the owners tone to implement security features like voicebiometrics.Speech recognition is mostly responsible for extracting meaningful informationfrom the audio,recog

5、nizing the words said,and the context they are placed in.With this we can create systems like chatbots and virtual assistants forautomated communication and precise understanding of voice commands.Both terms can often be used interchangeably,because there is not muchtechnical difference between the

6、algorithms that perform these functions.Although,depending on what you need,the pipeline for voice or speechrecognition may be different in terms of processing steps.If you are interestedin voice recognition for security systems specifically,read our article on AI voicebiometrics:In this post,well f