The technology that we have today allows us to multitask. With its present innovations, people can give out commands by voice while concentrating on another task at hand. Giving out voice commands and searching through voice are byproducts of analyzing audio and speech data. Audio and speech data became one of the pillars of speech recognition and artificial intelligence. The data powers machine learning by a number of datasets and speech patterns.

Several businesses benefit from audio data collection throughout the United States, Europe, and Asia to power their AI. These companies use audio and speech datasets for their speech recognition software and service. A few small or medium-sized businesses are considering outsourcing audio data collection services to third-party companies to use in their AI projects. The question is, how can small and medium-sized businesses benefit from audio data collection services?

Speech recognition is present everywhere. People use it for automating work commands, ordering food, searching online, and many more. Speech recognition is powered by AI and AI uses different machine learning algorithms to feed on audio data. Audio data fed to the machine is collected using either third-party data collection services or online databases.

Audio and speech data collected through third-party companies are the most likely optimal solution when it comes to small to medium-sized businesses. Small and medium-sized businesses can cut the cost time by outsourcing this service from third-party companies. Here at CCCI, we provide data collection services at a reasonable price which comes with a guaranteed high-quality output.

CCCI’s acoustic data recording and collection service focus on collecting data of audio events and acoustic scenes from various environments. This data collection is done to help boost the audio-based context recognition and sound-canceling capabilities of a model. The data gathered in this collection are fed to the machine for its algorithms to learn the complexities between audio relationships.

CCCI’s natural language utterance recording and data collection service focus on data recording and collection of utterances. The recorded and collected data from this service is used in training audio-based machine learning systems. The data helps the AI to recognize the nuances or intent of human speech to translate it into action and provide a relevant response.

According to a blog article from Semrush, only 7% of companies worldwide do not use AI. They also noted that though these companies don’t use AI, they are considering trying out the technology in the near future. Artificial intelligence, such as speech recognition, helped shape the way how business systems functions. AI helped in increasing employee productivity and enhancing the work environment.

Audio and data collection helped several companies, including small-sized and medium-sized businesses, to improve their services and to enhance their work productivity into achieving an efficient and high-quality output. The question is, how can small-sized and medium-sized businesses benefit from audio data collection?

By definition, small-sized businesses are companies that comprise less than 50 employees while medium-sized or mid-sized businesses are companies that comprise less than 250 employees. These types of businesses are most commonly known as Small and Mid-sized Enterprises (SMEs) in the European Union or small-to-mid-sized businesses (SMB) in the United States. Small to medium-sized businesses can range from law offices, salons, bars, gyms, and many more. At present, there are about 212.98 small to medium-sized enterprises worldwide.

Many businesses are applying AI in their services and operations globally. It’s no wonder if five or ten years from we’ll see every business out there making use of AI in automating their own systems and applying it to their business operations and services. But, it seems like, with this progress, SMEs are lagging behind. Their progress in catching up with AI is slow mainly because they don’t know the benefits that AI could bring to their company.

Voice and speech technology have been widely used by several companies worldwide to automate their tasks as a support in their transition from traditional to digital. Speech recognition paved a  way for SMEs to follow this transition. Speech recognition is one of the branches of AI which can help in optimizing work efficiency as well as produce data for future studies. Audio data collection is essential to speech recognition. As said before, the data acquired from the collection is fed to the machine that processes and comprehends speech patterns and audio signals.

When the pandemic struck the business sector, many companies had to close down or swiftly adapt to digital. Speech and voice technology became more significant. Speech and voice technology was then used to analyze speech patterns in how consumers decide, in how patients are going to be treated, and how people communicate. Some small and medium-sized businesses adapted to these changes and applied speech technology to their services. All they had to do was trust audio data collection and study data and patterns within the dataset. Here are some of the benefits that audio data collection can give your business:

Improved Customer Support Experience

With audio and data collection, customer experience can be improved. Collecting conversations from calls or collecting sample conversations for calls can help improve and predict answers to customers’ frequently asked questions. The data can help compare the effectiveness of the answers and the way it is being delivered.

Audio and data collection can help with cybersecurity. Gathering different sets of audio data and analyzing speech patterns can help prevent phishing deepfake audio attacks. With this, a company can protect its data as well as its resources from future possible cyber attacks.

Audio and data collection can help in automating several internal commands in a company and in its services. Samples of voice commands can be fed to the company’s AI to make it more seamless and efficient in processing several command tasks at once. It can cut the cost of time when finding resources as well as give an optimal result from a search in a lesser amount of time.

CCCI has been in the language services industry for over ten years. With our professional and experienced linguists, we are proud to say that we can produce and collect audio data in as fast as 24 hours. CCCI offers acoustic data recording and collection, natural language utterance recording and collection, as well as speech to text transcription, and multimedia data annotation. We do this in almost all industries and in up to 30 Asian and European languages.

Are you ready to transform your business? Unfold your next chapter with CCCI and make your AI smarter. Contact us here or email us at hi@ccci.am.

Read also – Audio and speech data in AI voice recognition.