Speech to text in Business: A Powerful Asset

Speech to text is a technology that has grown significantly in recent years, driven by advances in programming and computer processing power. It is now sophisticated enough to be used in Business Intelligence.

What is speech to text?

Speech to text might seem like a complex technology at first. While it involves advanced concepts, it offers many practical benefits.

Definition of speech to text

Speech to text is generally referred to as “voice recognition” in English, but you might also see terms like “speech synthesis” or “automatic speech recognition.” When we talk about speech to text, we mean software capable of analyzing human speech and transcribing it into text that a machine can process.

How does speech to text work?

Speech to text software relies on linguistic algorithms from business intelligence. Its job is to process the audio signal captured by a microphone and convert it into text. The audio is segmented into phonemes, which are then matched to known expressions using machine learning models. Through probability, words are assigned to sounds, resulting in intelligible text.

Deploy voice recognition

What are the applications of speech to text?

There are many situations where speech to text reveals its full potential. In fact, it’s already part of our daily lives, often without us realizing.

People with disabilities

It’s not often considered, but people with disabilities that prevent normal keyboard use can benefit from voice dictation. Speech to text allows them to write without using their hands.

Automatic subtitling

Automatically generated subtitles are increasingly common on video content platforms. Video conferencing services also offer real-time captioning as speakers talk. All this is made possible by speech to text. You can find this feature directly in your dashboard

Voice assistants

Speech to text is now built into all smartphones via voice assistants. Users can make requests by voice, such as sending a message, playing music, or setting an alarm. Speech to text is also found in smart speakers, which have voice assistants just like smartphones.

Professional needs

Certain professions can gain major benefits from speech to text. Here are a few examples:

• Legal professionals, for producing legal documents and reducing costs and delays related to administrative staff handling transcriptions.
• Healthcare professionals, for capturing medical information in patient records as it’s produced, and for writing diagnoses in optimal hygiene conditions.
• Finance professionals, for saving time, money, and increasing efficiency in processing client data through automated entry.
• Any professionals who need to type large amounts of text, such as articles, emails, etc.

To optimize company time and results, choosing SaaS is a smart solution. Using SaaS software in your business leads to increased performance.

Why use speech to text in business?

Beyond the examples above, speech to text is set to become widespread across many industries. This technology can add value to entire areas of a company. Speech to text is closely linked to call transcription

Sales department

For sales teams, speech to text provides transcripts of prospecting calls. These transcripts are a rich source of information for salespeople. The data is objective and can be deeply analyzed. Such analysis benefits both sales performance and training of new hires. In short, put conversational intelligence at the service of your sales activity.

Customer service

Speech to text is also useful for customer service. It enables you to keep a history of interactions, allowing for more personalized support than ever before. Additionally, building a knowledge base of issues and solutions becomes much easier. Business intelligence can also meet customer needs and further enhance the power of speech to text.

Marketing / Product teams

Finally, marketing and product teams should encourage colleagues in customer-facing roles to use speech to text, as their conversations are often a goldmine of information. These insights are new ideas expressed in the customer’s own words, which is invaluable for marketing and product teams, especially since the feedback is candid and the observation is discreet.