Digital Technology: Using Speech Recognition Systems in 2022
“Play some music.”
You may not have noticed it, but we use speech recognition systems in our daily lives. Sometimes, we don’t see how dependent we are until we cannot use it for some reason. Examples of speech recognition systems are Bixby, Siri, Alexa, and Google, which are now built-in on phones, speakers, and even smart TVs. In the current year, 2022, people are much more dependent on artificial intelligence, especially speech recognition systems. The daily use of speech recognition systems mostly comes from mobile devices as a way to give commands to their phones without touching them. Automatic Speech Recognition (ASR) is a technology that allows humans to provide computer commands to ease daily living. Compared to its first release in the 1960s, ASR progressed over the years and now has a 95% accuracy rate.
What’s the difference between voice recognition and speech recognition?
Both are products of artificial intelligence. However, voice recognition systems focus on your voice’s quality, pitch, and tone rather than the actual words. This is commonly used as a security measure because it recognizes the voice’s owner. On the other hand, speech recognition focuses more on the words uttered than the actual voice. This is also different from natural language processing (NLP). NLP focuses on processing the text to understand its meaning.
The Importance and Use of Speech Recognition Systems
In the United States, over 40% of its total population, roughly 135.6 million users, use voice search or speech recognition systems to look things up online. Furthermore, speech recognition systems take a step forward in creating a barrier-free environment. It caters to people who have difficulty accessing technology the way it caters to the majority. Also, using the technology provides faster customer support services to the masses. In 2003, it was predicted that the BPO industry would adapt speech recognition for more secured transactions. Not only is it quick and reliable, but the costs are also relatively cheaper compared to a team. Although, it does not eliminate the chance of machine error. In addition, speech recognition is also used for archiving video files. In massive archives, the easiest way to look for a specific video is to do a voice search.
The pandemic became a huge factor in the development of speech recognition in the past two years. With more people needing the convenience; to overcome the limitations brought by the pandemic, they made specific actions. However, it still needs to address a lot of challenges to maximize its capacity fully.
Speech Recognition Systems Must Overcome These Challenges
Despite speech recognition systems having improved drastically over the years, it still faces many challenges. These systems are limited and it proves how dependent it is on the human touch. Pitch and tone have variations in a conversation. The reality is that artificial intelligence still cannot pick up these speech nuances. This requires human assistance. Being the world is a diverse space, languages may transcend the invisible marker of boundaries. However, a native speaker will always have a slightly different way of speaking than a language learner. It might not pick up these accents and slight pronunciation changes.
Aside from internal factors, these systems also face external ones. Background noises can disrupt the language and its pickup of the word. Poor voice recording equipment might also change the terms into a different one, leading to misunderstanding or worse, the system will never understand the spoken language.
Speech Data Collection is Essential for Technological Advancements
Data collection is the foundation of speech recognition systems. Without it, there will be no data for these systems to rely on, and it won’t work. The reason why these systems work really well is that they reason thousands of data that the system sifts through and gathers relevant information the moment you use it.
The goal of speech collection is to make sure that speech recognition systems will have enough data for information processing. Speech recognition systems or ASRs rely on this information for data processing, which is why it is crucial to get high-quality and accurate audio and speech recordings.
Quality Data Collection for an Effective Artificial Intelligence Systems
CREATIVE CONNECTIONS & COMMONS INC. offers high-quality, fast, and accurate speech recordings for your speech recognition system needs. CCC is a multilingual service company that provides a globally competitive level of service, supporting the AI technology market through data collection services.
We can help in the complex process of overcoming language barriers and nuances. May it be due to accents, tone, pitch, and other related challenges. We offer many multilingual services, including technical and creative translations, manga translation and typesetting, game localization, transcriptions, and customer support services.