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?

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.

Acoustic Data Recording and Collection

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.

Acoustic Data Recording and Collection

Natural Language Utterance Recording and Collection

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.

Businesses Benefit From Audio Data Collection

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?

Small-sized to Medium-sized Businesses in 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.

How can audio data collection benefit small-sized to medium-sized companies?

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 a