How 2000s researchers identified languages in short text and speech using character n-grams, acoustic and phonotactic models, evaluation methods, and rejection thresholds.
Low-Resource Speech Recognition in the 2000s: Data, Design, and Evaluation
How 2000s speech-recognition projects addressed scarce data, multilingual modeling, orthography, code-switching, evaluation, and community governance for low-resource languages.
Visual Tracking in the Early 2000s: Motion, Appearance, and Identity
A historical look at early-2000s visual tracking, from Kalman and particle filters to data association, detection-based tracking, stereo, and evaluation.
Document Analysis in the 2000s: Beyond OCR
How 2000s document-analysis systems handled page layout, reading order, tables, forms, handwriting, historical scans, and human review beyond basic OCR.
Gaussian Mixture Models in Early Biometric Recognition
How Gaussian mixture models shaped speaker recognition and early biometric research, from GMM-UBM systems to thresholds, errors, and later i-vectors.
Early-2000s Speech Synthesis: Joins, Prosody, and HMM Voices
How early-2000s speech synthesis balanced recorded units, formant methods, and HMM-based generation, with attention to prosody, evaluation, accessibility, and low-resource languages.
How Digital Records Changed Mid-2000s Recognition Research
How digital publishing, data pipelines, collaboration, peer review, and preservation reshaped speech, computer vision, and pattern-recognition research in the mid-2000s.
How Mid-2000s Recognition Systems Turned Noisy Data into Decisions
A historical look at mid-2000s pattern recognition: feature engineering, HMMs, SVMs, face detection, tracking, stereo vision, low-resource languages, and evaluation.
Early Speech Technology: From Mechanical Synthesis to Statistical Recognition
A historical look at early speech synthesis and recognition, from the Voder and Audrey to DTW, HMMs, language models, and large-vocabulary systems.
Language Barriers in Early-2000s Speech and Language Technology
How early-2000s speech and language systems struggled with scarce data, morphology, code-switching, multilingual transfer, and locally meaningful evaluation.