Speech to Text

An AI assistant that supports individuals, agencies, and businesses in converting speech to text from live audio streams or audio files in various formats such as .wav and .mp3, handling large file sizes and extended speech durations.

Values Delivered

Enhance Advantages and Competitiveness

Create new opportunities, build competitive advantages, and elevate the brand positioning of your business

Save Time and Costs

Reduce transcription time by over 80% for audio files lasting up to 2 hours

Optimize Products/ Services

Boost work efficiency and reduce personnel and operational costs by 30-60%

Streamline Management and Operations

Enable businesses to improve and optimize functions and workflows while enhancing customer experience

Outstanding Features

Multi-format support

Support speech-to-text conversion from live audio streams or audio files in various formats such as PCM, WAV, and MP3. Additionally, VNPT Smart Voice can process audio files with durations of up to 2 hours

High-Speed Connectivity and Enhanced Accuracy

Support both gRPC streaming and gRPC offline versions. Additionally, VNPT SmartVoice leverages NLP technology to understand semantics and improve accuracy

Meeting Mobile App

In addition to direct usage and API service calls, VNPT SmartVoice also offers a speech-to-text conversion solution via the mobile application

Call Sentiment Analysis

Convert speech to text and distinguishes between call agent and customer voices; analyze the speaker's sentiment during the conversation

Multi-Platform Integration

Easily integrate with various systems and devices across platforms such as mobile, websites, tablets, IoT devices, call centers, and more via API/SDK. Additionally, customers can use the service directly on the product’s website or deploy it on their own infrastructure

Fast and Accurate Responses

The Speech-to-Text accuracy rate, measured by WER (Word Error Rate), exceeds 95% based on customer training datasets. Additionally, the AI models are optimized for GPU performance and utilize server-to-server gRPC connections to handle high loads and accelerate processing speed