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MODULE 72 // SPEECH-TO-TEXT (ASR)/NEURAL SPEECH RECOGNITION

Speech-to-Text That Understands Accents, Jargon, and Background Noise.

Transcribe audio in real time with sub-150ms streaming latency. Unrivaled accuracy for complex Bengali conjuncts, mixed English code-switching, and multi-speaker conferences.

Explore ASR Benchmarks
[Target Architectural Benchmark: Verified against live acoustic checkpoints and low-latency WebSockets.]
MODULE 72 // NEURAL SPEECH RECOGNITION/NEURAL SPEECH RECOGNITION

Speech-to-Text That Understands Accents, Jargon, and Background Noise.

Transcribe audio in real time with sub-150ms streaming latency. Unrivaled accuracy for complex Bengali conjuncts, mixed English code-switching, and multi-speaker conferences.

The Regional Audio Barrier

Global Speech Engines Choke on Real-World Regional Audio

Standard ASR models trained on clean Western datasets fail catastrophically when confronted with noisy Dhaka traffic, phone line compression, or rapid Bengali-English code-switching, producing garbled transcripts full of hallucinations.

Streaming ASR & Diarization
4.2% WER · BENCHMARK
File: court_hearing_oct16.wavDuration: 00:32Language: Bengali (99.4%)
[SPEAKER_01]00:00.120 -> 00:04.850
“মাননীয় আদালত, আমরা আজকের শুনানিতে সাক্ষীর জবানবন্দি পেশ করতে চাই।”
মাননীয় [0.12s]আদালত [0.84s]আমরা [1.40s]আজকের [1.92s]
[SPEAKER_02]00:05.100 -> 00:08.420

“You may proceed with the witness testimony, Counselor.”

[SPEAKER_01]00:08.900 -> 00:14.200
“ধন্যবাদ। সাক্ষী মহোদয়, আপনি কি ১৮ই সেপ্টেম্বর ২০২৬ তারিখে ঘটনাস্থলে উপস্থিত ছিলেন?”
Sub-150ms Streaming Latency

Speech-to-Text Intelligence Features

Real-Time Streaming TranscriptionSUB-150MS

Stream audio over WebSockets and receive structured JSON transcription tokens with interim hypotheses in milliseconds.

Operational Ref: Streaming WebSocket ASR Protocol
Bengali Word Error Rate MasteryBENCHMARK 4.2%

Trained on authentic conversational South Asian speech, beating global models on real-world noisy audio environments.

Operational Ref: 4.2% Bengali Conversational WER
Speaker Separation & TimestampsDIARIZATION

Automatically separates multiple speakers in conference calls and podcasts, providing millisecond-accurate word timestamps.

Operational Ref: Millisecond Word-Level Timestamps
Automatic Punctuation & FormattingCLEAN FORMATTING

Converts phonetic speech into readable prose with proper capitalization, dates, and Bengali currency symbols ('৳৫০০').

Operational Ref: Currency & Number Formatting
ASR RECOGNITION PIPELINE

Streaming Audio to Structured Intelligence

From live microphone audio frames to word-offset structured JSON and timed subtitles.

01

Audio Stream Ingestion

Submit audio via live microphone, file upload, or continuous WebSocket streaming chunk packets.

Sub-150ms Chunk Processing
02

Acoustic Denoising & Normalization

Neural acoustic filters suppress background noise, road hum, and telephone line hiss.

Zero-Latency Noise Gate
03

Phoneme Alignment & Diarization

Acoustic decoder identifies individual speakers and generates millisecond-accurate timestamp bounds.

Multi-Speaker Separation
04

Structured JSON & Subtitle Export

Download JSON with word offsets, formatted plain text, or synchronized SRT/VTT subtitle tracks.

JSON / SRT / VTT Formats
Connect Speech Recognition with Real-Time AgentsCombine ASR with conversational agents and developer WebSockets