AI Real-time Speech Recognition Solution

In today's world, where the digital wave is sweeping across the globe, voice—as the most natural form of human interaction—is experiencing growing demand for intelligent processing. Our AI real-time speech recognition solution, based on the industry-leading Deep Peak2 end-to-end modeling technology, provides millisecond-level voice-to-text services for businesses and individual users. It is perfectly suited for various scenarios such as meeting minutes, live broadcast captions, and lecture transcriptions, redefining the voice interaction experience with a 98% accuracy rate for Mandarin recognition.

I. Core Technical Advantages

1. Breakthrough Recognition Accuracy

• Utilizes the Deep Peak2 end-to-end modeling architecture, eliminating information loss between acoustic and language models in traditional speech recognition systems

• Over 100,000 hours of multi-scenario training data covering diverse settings such as meetings, speeches, and customer service

• Multi-sample rate adaptive technology ensures stable recognition for audio ranging from 8kHz to 48kHz

• Achieves an industry-leading 98% accuracy rate for near-field Mandarin recognition

2. Intelligent Language Processing Engine

• Dynamic language model trained on trillions of text entries enables real-time error correction

• Smart punctuation prediction system automatically matches symbols such as ", . ! ?"

• Context-aware technology improves the recognition accuracy of professional terminology

3. Millisecond-Level Real-Time Response

• First-packet response time <300ms, with intermediate results returned in real time

• Streaming processing technology synchronizes audio input with text output

• Intelligent VAD (Voice Activity Detection) accurately segments sentence boundaries

II. Multi-Scenario Application Solutions

1. Smart Meeting Systems

• Real-time transcription for multiple speakers: automatically distinguishes between different speakers

• Automated meeting minute generation: timestamped text for easy retrieval of key content

• Supports mixed Chinese-English scenarios, enhancing efficiency for international meetings

2. Audio-Video Production Workflow

• Live broadcast real-time captions: subtitle synchronization with <1-second delay, supports secondary editing

• Video subtitle generation: automatically generates subtitle files with timecodes

• Structured audio content processing improves media asset management efficiency

3. Smart Education Solutions

• Real-time lecture transcription: automatically records teacher's content

• Teaching quality analysis: evaluates instruction based on text content

• Supports customization of professional terminology libraries for educational scenarios

4. Smart Hardware Interaction

• Embedded SDK supports various IoT devices

• Optimized far-field speech recognition solution

• Low-power mode compatible with mobile devices

III. Enterprise-Grade Service Assurance

1. High-availability architecture: 99.99% service availability SLA

2. Elastic scaling: supports tens of thousands of concurrent real-time processing requests

3. Security and compliance: encrypted transmission, supports private deployment

4. Customized training: self-training platform can improve vertical domain recognition rates by 5-25%

IV. Typical Customer Value

Case Study: A Leading Live Streaming Platform

• Enabled real-time captioning for 2,000+ live streams

• Reduced manual captioning costs by 70%

• Increased average viewer watch time by 35%

Global Fortune 500 Company Meeting System:

• Achieved 96.8% transcription accuracy for international meetings

• Improved meeting minute compilation efficiency by 10x

• Supports real-time switching between Chinese, English, and Japanese

V. Future Development Directions

1. Multimodal recognition: combines lip movement features to improve recognition rates in noisy environments

2. Emotion analysis: detects emotional characteristics in speech

3. Semantic understanding: extracts key information from conversations in real time

4. Personalized voiceprint recognition: enables more accurate speaker separation