Automating Call Recording and Key Data Extraction Using Speech-to-Text API
Streamline operations by automating call recording and extracting key data with AIVISION's Speech-to-Text API. Optimize workflows and reduce manual errors today.
In the modern business landscape, the volume of calls from customers, partners, and internal teams is constantly growing. Manually processing these recordings is time-consuming and prone to human error, especially when staff must listen to hours of audio just to take notes. Implementing automated call recording and utilizing a speech-to-text API is an effective solution. It converts audio to text instantly and allows for accurate data extraction from audio, supporting faster decision-making.
Why Businesses Need Automated Audio Processing
When a customer support center or sales team handles hundreds of calls daily, the most valuable data lies in the voices themselves: customer needs, reasons for rejection, product feedback, and commitments made. Without technological support, this information is often missed or recorded incompletely.
Deploying a system for automated call recording delivers three core benefits:
- Save staff time: Employees no longer need to spend hours daily listening to recordings and typing out content.
- Enhance service quality: Converting data into text makes it easier to search, analyze, and train new staff based on real call scenarios.
- Scale efficiently: The system can handle a large volume of calls without a corresponding increase in administrative headcount.
Integrating the Speech-to-Text API into Your System
To realize the goal of extracting data from audio, businesses need a stable and accurate technology platform. AIVISION provides a Speech-to-Text service designed specifically for Vietnamese, supporting both real-time streaming via WebSocket and file transcription via REST API.
Step 1: Establish the API Connection
Then, establish a WebSocket connection to receive real-time audio data or use the REST API if processing existing recorded files.
Step 2: Handle Multilingual Audio
A major challenge in the Vietnamese business environment is the mixing of Vietnamese and English (code-switching). For example, a technical call may contain English industry terms interspersed with Vietnamese sentences. AIVISION's models are trained to handle this scenario well, ensuring the output text accurately reflects the actual communication.
Step 3: Extract and Structure Data
Once you have the raw text, the next step is extracting data from audio. You can combine the speech-to-text results with large language models (LLMs) to automatically classify calls, identify customer intent, or extract specific data fields such as phone numbers, appointment dates, or satisfaction levels.
The Advantage of Vietnamese-Specific Speech-to-Text Technology
Not every speech-to-text API performs well with Vietnamese, particularly in specialized contexts such as healthcare, finance, or engineering. AIVISION has built a large-scale Vietnamese dataset, comprising hundreds of thousands of hours of audio, to train its speech recognition models.
Accuracy is a key factor for successful automated call recording. According to AIVISION's internal measurements on independent test datasets (not used for training), the model achieves an average word error rate of approximately 11.84% across four standard Vietnamese datasets. Specifically:
| Test Dataset | Characteristics | Word Error Rate (WER) |
|---|---|---|
| FLEURS-vi | Standard read speech | 4.58% |
| VIVOS | Read speech, many speakers | 6.83% |
| ViMedCSS | Medical, with English terms | 15.68% |
| Real business meetings | Natural context | 20.29% |
These figures demonstrate the system's capability to handle complex situations, such as business meetings with multiple participants and natural language. Additionally, the service provides word timestamps, helping users easily locate specific keywords within a recording.
Practical Tips for Implementation
When starting to automate call recording, businesses should follow these principles to achieve the highest efficiency:
- Check input audio quality: Ensure the microphone or audio channel has minimal background noise. Input audio quality directly affects the accuracy of the output text.
- Use streaming for real-time: If you need to display subtitles or notes while a call is happening, use the WebSocket protocol. If you only need to store and analyze later, the REST API is a suitable and resource-efficient choice.
- Combine with LLMs for added value: Plain text is just the beginning. Use large language models to summarize content, suggest next actions, or flag potential risks in the call.
Conclusion
Shifting from manual processing to automated call recording and data extraction from audio is not just a trend but a necessity for enhancing competitiveness. With a speech-to-text API optimized for Vietnamese, businesses can free up human resources for higher-value tasks while fully leveraging the valuable data from daily interactions.
If you are looking for a reliable solution to begin this digital transformation, try AIVISION's service. You can sign up for an account to receive $10 of free usage every day and test the system's accuracy on your own call data.
Start free today to get started.
Frequently asked questions
Does AIVISION's speech-to-text API support English?
Yes, AIVISION supports both Vietnamese and English, including the ability to handle code-switching where both languages are mixed in the same conversation. Additionally, the service supports 24 other languages for translation applications.
How can I extract specific information like phone numbers or names from calls?
After using the API to convert speech to text, you can use natural language processing (NLP) techniques or combine it with a large language model (LLM) to scan and extract specific entities such as phone numbers, emails, or proper names from the transcribed text.
Can this API be used for real-time calls?
Yes, AIVISION provides a WebSocket protocol that allows for real-time audio transmission and processing (streaming). This is suitable for applications like live subtitles, real-time meeting notes, or voice assistants.
How are the costs for using the service calculated?
AIVISION charges based on the number of tokens used. All prices are transparently published on the [Pricing](/en/pricing) page. Additionally, every account is granted $10 of free usage daily, allowing you to test the service without worrying about initial costs.
Is the recorded business data secure?
AIVISION commits to adhering to strict data security standards. Customer data is processed and stored according to the company's privacy policy, ensuring confidentiality and safety for your business information.
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By
Dr. Giang Vo — CEO, AIVISION
Dr. Giang Vo is the CEO of AIVISION, leading the development of s2speech — speech recognition, AI voices and a large language model for Vietnamese — and working with companies at home and abroad on their deployments.