Real-Time Speech Translation Latency Analysis
Empirical objective audio-visual latency evaluation measuring end-to-end performance from speech onset to target-language caption visibility (TTFC) and synthesized audio playback (TTFS). Conducted under IEEE 829 software performance testing guidelines.
Streaming Architecture Prevents Continuous Speech Audio Lag
Wordly holds translated audio in a silence-detection buffer for up to 7.22 seconds during continuous speech. Exbabel streams live translated speech continuously in ~2 seconds, eliminating delays during keynotes, sermons, and lectures.
EXB-LAB-2026-001: Latency Benchmark Report
Complete 11-section research report including FFmpeg astats RMS profiles, frame extraction logs, and mathematical scaling formulas.
Machine-Readable Trial JSON Datasets
Access raw 30 FPS frame indices, RMS decibel logs, and runnable Python analyzer scripts for independent audit and verification.
Executive Head-to-Head Benchmark Findings
Wordly mean TTFC: 1.974s. Exbabel renders target Spanish captions in ~1.0s from speech onset (0.403s pure processing time).
Wordly mean TTFS: 5.680s. Exbabel begins audio playback in ~2.0s (1.417s pure processing time).
Wordly continuous speech lag: 7.220s. Exbabel maintains constant ~2.0s streaming delay without sentence buffering.
Continuous Speech Audio Latency Projections
Linear scaling formula: Wordly TTFS scales with speech duration (TTFS ≈ Speech_Duration + 0.4s) while Exbabel remains constant (TTFS ≈ 2.027s).
| Speech Duration | Wordly Audio Delay (TTFS) | Exbabel Audio Delay (TTFS) | Exbabel Advantage |
|---|---|---|---|
| 6.82 s (Measured Trial) | 7.220 s | 2.027 s | 3.6× Faster |
| 10.00 s Continuous Speech | ~10.400 s | ~2.000 s | ~5.2× Faster |
| 20.00 s Continuous Speech | ~20.400 s | ~2.000 s | ~10.2× Faster |
| 30.00 s Continuous Speech | ~30.400 s | ~2.000 s | ~15.2× Faster |
| 60.00 s Continuous Speech | ~60.400 s | ~2.000 s | ~30.2× Faster |
Testing Standards & Protocols Followed
Standard for Software & System Test Documentation
Governs master test planning, trial logging, apparatus calibration, anomaly reporting, and formal summary documentation under EXB-LAB-2026-001.
Software Quality Requirements and Evaluation (SQuaRE)
Establishes standard performance efficiency models, measuring system time-behavior, response latency, and resource scaling.
Relative Timing of Sound & Vision Signal Processing
Defines objective frame-accurate video demuxing (30.00 FPS) and acoustic energy RMS window segmentation for A/V alignment.
Algorithmic Energy & Silence Boundary Detection
Measures Root Mean Square (RMS) energy shifts from noise floor (-60 dB) to speech peak (-34 dB) at 21.3ms window resolution.
Download Official Reports & Machine-Readable Datasets
| Resource Title | Format | Size | Action |
|---|---|---|---|
EXB-LAB-2026-001 Executive Report (PDF)OFFICIAL REPORT | PDF Document | 39 KB | Download↓ |
EXB-LAB-2026-001 Markdown Source (MD)SOURCE CODE | Markdown Whitepaper | 18 KB | Download↓ |
Exbabel Trial Latency Dataset (JSON)RAW DATA | JSON Dataset | 12 KB | Download↓ |
Wordly Trial Latency Dataset (JSON)RAW DATA | JSON Dataset | 14 KB | Download↓ |
Download Official PDF Report & Whitepaper
Get full access to EXB-LAB-2026-001 including mathematical models, RMS decibel logs, PDF document, and raw datasets.