AI Transcriptions: A Rising Trend Powering Machine Learning and Big Data

To build something great, you need something great.

One cannot hope to build a supercar with unsharpened metal and crude oil. Similarly, one cannot train AI models without sufficient ingredients. One such ingredient that is heavily used for training AI models and machine learning is data, not just raw, unfiltered data, but uniform and structured data.

So, what is this data?

Data is raw information—numbers, text, audio, or visuals—that, when processed or analyzed, reveals patterns, insights, and meaning.

While all types of data play a vital role in training AI models, our focus for this blog is audio data. For a tech company, unstructured audio data is not a very feasible option for training machines. To convert raw audio into machine-readable text, AI transcriptions are utilized.

In this blog, we will discuss how transcription services—both AI-powered and human-led—are becoming foundational for today’s most advanced technologies.

Why Is Transcription Used in AI and Data Science?

AI and machine learning models thrive by using high-quality, structured audio data. Whether for training voice assistants, analyzing customer sentiment, or processing call center data, audio data plays a vital role in empowering AI and machines.

However, audio, an essential part of data, is often filled with heavy accents, intonations, and background noise. To make sense of it, developers rely on data transcription services that can transform incoherent spoken content into readable, labelled text.

Here’s how AI transcriptions help:

• Training NLP Models: Data-driven algorithms need to analyze speech patterns. Transcriptions offer annotated text that helps machines learn languages efficiently.
• Speech Recognition Systems: Have you ever wondered how Siri, Alexa, or Bixby work? They work on automatic speech recognition (ASR) systems that rely on vast datasets of speech-to-text to improve accuracy.
• Big Data Mining: Data mining companies index and analyze voice data from millions of users. This data is first transcribed into analytical texts to enhance the indexing process.

Data mining and AI models have completely revolutionized several industries. Do you want to learn more about how transcription services transform high-value data? Check out this article: Transcription Services: Transforming Talk into High-Value Data.

The Tech Behind AI Transcription

Machine learning transcription functions with a combination of ASR, deep learning, and NLP.

• Speech Recognition Algorithms: They break down audio into phonemes and predict the most likely spoken words.
• Natural Language Processing (NLP transcription): They help algorithms to interpret and contextualize the tone and intent of the spoken content.
• Feedback Loops: They allow AI models to learn from errors, improving accuracy over time.

Although AI transcriptions have high accuracy, it isn’t advisable to completely rely on them. Under ideal conditions, AI transcriptions claim up to 95% accuracy; however, human vs. AI transcription accuracy remains a heated debate among industry professionals.

Human vs. AI Transcription: Can Machines Beat the Experts?

The short answer: not quite!

While AI transcription is incredibly fast and cost-effective, it still struggles with:

• Complex or incoherent accent
• Background noise
• Multiple speakers or cross-talks
• Technical jargon

In such scenarios, hybrid transcription models are really useful. They combine AI efficiency with human expertise to provide accurate, high-quality transcriptions. For industries handling sensitive audio content, human transcription services are still the preferred choice.

Somya Translators’ Role in Empowering AI Transcriptions

As a leading AI transcription service, Somya Translators continues to evolve their solutions by offering:

• Real-time transcriptions for live meetings and events.
• Voice-to-text analysis for marketing and customer experience.
• Multilingual transcription as a backbone for AI translation.

As an ISO 17100:2015-certified translation and localization company, we don’t just transcribe; we transform data into meaningful perception.

Armed with expert linguists and data transcribers, we offer:

• AI-assisted and human-led transcription services
• Customizable support in over 170 languages
• Diverse industry expertise, ranging from legal to IT.
• Innovative solutions for efficient integration with your AI, NLP transcription, and big data workflow.

So, if you are a tech company building or refining voice interfaces or a research team mining audio data, Somya Translators can be your trusted partner for high-quality transcriptions.

Contact us today for a free quote!