Voice recognition software continues to penetrate into our daily lives, and with it comes voice recognition software problems. The average smartphone now features a voice assistant, which users interact with through voice. Otherwise, such software is found in dictation and accessibility programs, too. More and more devices are controlled by or include voice recognition.
This technology is far from perfect right now, though. Without a doubt, every user has run into situations where words went unrecognized and other frustrating issues occurred. There are several common problems with speech recognition software.
In that vein, here are five things that interfere with voice recognition software:
Voices In The Background
When activated for use, recognition software listens for audible input near the microphone.
In a quiet setting, the software will pick up the user’s voice with ease. That’s often not the case in a loud or crowded area. Multiple voices in the background will interfere with a user’s voice inputs.
Typically, extraneous voices will find their way into the software and cause errors with the program or voice assistant. Newer software can be trained to listen for a specific voice to reduce problems.
Speedy Talking, Dialects, and More
Using voice recognition software requires a clear and discernable voice. Therefore, things like fast speaking or accents wreak havoc on the software.
Most programs miss words and phrases if they’re spoken too quickly or in certain dialects. A simple mispronunciation tricks the average recognition software, too.
To avoid these issues, users should focus on speaking clearly and enunciating each word. Slowing down the rate of speech never hurts and makes things easier in this situation.
Music Or Loud Noises In The Background
Background music and noise affects the accuracy of voice recognition software. Loud sounds drown out the user’s voice inputs. Likewise, music can dupe the software into thinking other words have been said.
Nobody should try to use a voice assistant or recognition software at a concert or on a construction site. These types of background noises distort what is processed by the software through the microphone.
In fact, such noises can cause more interference than regular voices in the background.
A Speaker’s Distance From The Microphone
All recognition software and voice assistants utilize a microphone. Words are spoken into the microphone and then processed by the software.
If a user speaks too close to the microphone, then the software often picks up muddled speech. On the other hand, speaking too far from the microphone leads to missed words.
A user’s mouth shouldn’t be on the microphone of a given device; he or she shouldn’t be far enough from the input microphone to necessitate shouting. Six to 12 inches away often works best.
For speech recognition software, similar-sounding words pose a problem. Such software doesn’t always process and discern between these types of words.
A word that sounds the same but features different spellings can have completely separate definitions. In this case, users need to correct the errors by hand.
Voice assistants on smartphones often use cloud computing and context to figure out the correct word. The issue of similar-sounding words still arises from time to time for all users.
Voice Recognition Software Is A Work In Progress
Developers and technology companies won’t perfect voice recognition software in the near future. A lot of work goes into this software, and perfect recognition is more complicated than it sounds.
Voice recognition software is found everywhere now, especially in smartphones and speech recognition (dictation) programs. Regardless of the type of software, these sources of interference affect them all.
Voice recognition is a work in progress, but it’s still a highly valuable tool for various users.
Tips For Better Voice Recognition (Regardless of Platform)
- Always enunciate words and speak at a moderate speed.
- Speak 6-12 inches from the microphone to avoid distortion or missed words.
- Avoid loud environments with extra voices, music, or loud noises.
- If available, use a program’s voice training program to focus on the user’s voice.