IntonaSphere AI unifies multilingual transcription, forced alignment, acoustic extraction, prosodic analysis, annotation, visualization, and research-ready export in one intelligent platform.
Speech research often requires separate systems for transcription, alignment, annotation, measurement, quality control, and reporting. IntonaSphere AI brings these stages together.
Move from audio upload to structured results without repeatedly switching applications and rebuilding files.
Designed around real corpus-phonetic and prosodic research needs, including transparent diagnostics and quality checks.
Preserve extraction settings, file matches, measurement windows, warnings, and outputs for reliable replication.
Current capabilities and future modules are organized under one scalable IntonaSphere AI brand.
Multilingual transcription, timestamps, audio/video processing, and subtitle-ready outputs.
Pitch, intonation, duration, intensity, rhythm, speech rate, final-word and final-syllable analysis.
Praat TextGrid processing and compatibility with alignment and annotation workflows using WebMAUS and SPPAS.
Batch extraction, diagnostic quality control, corpus summaries, visualizations, and structured exports.
Pronunciation feedback, fluency analysis, IPA-supported learning, and AI-assisted speaking practice.
Developer endpoints for transcription, alignment, prosody extraction, visualization, and export.
Upload audio, video, transcripts, or TextGrid files individually or in batches.
Create multilingual, timestamped transcripts and reusable text outputs.
Prepare word, phone, syllable, and sentence timing for detailed analysis.
Extract F0, duration, intensity, formants, pauses, and speech-rate variables.
Examine contours, final pitch movement, syllables, boundaries, and variation.
Download CSV, Excel, TextGrid, TXT, DOCX, PDF, and subtitle-ready files.
Support phonetics teaching, student projects, research labs, and shared corpora.
Automate repetitive measurements while preserving methodological transparency.
Analyze pronunciation, fluency, timing, pitch, and learner speech development.
Prepare structured, annotated, and acoustically enriched speech datasets.
| Tool | Primary strength | How IntonaSphere AI complements it |
|---|---|---|
| Praat | Detailed phonetic and acoustic analysis | Adds integrated transcription, batch extraction, diagnostics, visualization, and export. |
| WebMAUS | Forced alignment | Continues from alignment to acoustic measurement, prosodic analysis, and reporting. |
| SPPAS | Automatic annotation | Adds structured research workflows, quality checks, and reusable datasets. |
| Whisper | Speech recognition | Connects transcription to alignment, annotation, acoustic analysis, and interpretation. |
IntonaSphere AI grew from practical doctoral research in French interrogative prosody, speech alignment, TextGrid processing, acoustic extraction, and diagnostic quality control. Its design responds to problems that researchers encounter when recordings, annotations, and metadata do not align perfectly.
The platform is being developed to reduce repetitive manual effort while keeping measurements inspectable, traceable, and suitable for reproducible analysis.
Connect for research collaboration, demonstrations, institutional partnerships, pilot testing, or early-access enquiries.