Record, review, analyze
AI Transcription for Language Samples
ConductSpeech helps SLPs turn recordings into reviewable transcripts for language sample analysis. Clinicians can record in the browser or upload audio, then review the transcript before relying on metrics.
The transcript is not the finish line. It becomes the starting point for C-units, MLU, maze review, narrative scoring, goal suggestions, and report drafting inside the same workflow.
Sample result
AI Transcription for Language Samples
Step 1
Record or upload a language sample.
Step 2
Review speaker-separated transcript lines.
Step 3
Analyze language measures from the reviewed transcript.
Input
Record or upload
Review
Editable transcript
Speakers
Speaker-separated lines
Next step
Analyze and report
Input
Record or upload
Review
Editable transcript
Speakers
Speaker-separated lines
Next step
Analyze and report
How it fits into a speech workflow
1
Collect
Start from a recording, transcript, or saved session.
2
Review
Check speaker turns and make clinical edits before relying on results.
3
Measure
See the language measures and notes that matter for this feature.
4
Use
Bring the output into reports, progress review, or research exports.
Built for clinical review
Generic transcription tools stop at text. ConductSpeech keeps the transcript connected to the clinical workflow, so the SLP can review speaker lines, make corrections, and use the corrected sample for analysis.
From audio to language sample metrics
After review, the same sample can be analyzed for language measures such as MLU, TTR, NDW, PGU, C-units, Subordination Index, maze patterns, and verbal facility when timing is available.
- Record directly in a modern browser.
- Upload audio from an existing session.
- Review transcript text before using automated metrics.
- Generate reports from the reviewed sample.
Clear limits, not hidden assumptions
If a sample does not include usable timing, timing-based measures are marked unavailable. If the transcript needs correction, clinicians can edit it before generating final language sample findings.
What users see
Typical transcription workflow
A compact result view turns the feature into reviewable language, not a technical readout.
Step 1
Record or upload a language sample.
Step 2
Review speaker-separated transcript lines.
Step 3
Analyze language measures from the reviewed transcript.
Step 4
Draft the report from reviewed metrics.
Clinical interpretation notes
- Audio quality, background noise, and overlapping speech can affect transcript quality.
- Clinicians should review transcripts before using the output in official documentation.
Related pages
SALT Transcript Editor
Edit AI-drafted transcripts with SALT-style codes, review suggestions, and re-analyze language sample metrics instantly.
SALT-Compatible Language Sample Analysis
AI language sample analysis with SALT-style coding, C-units, SI, mazes, grade norms, reliability, and clinical reports.
Verbal Facility and Pause Analysis
Measure words per minute, speech time, pause time, and pause distribution from timed language samples.
Clinical Language Sample Reports
Generate IEP-ready language sample reports with MLU, PGU, SI, C-units, maze summaries, norms, and fluency context.
SALT-compatible analysis methodology
Read how ConductSpeech documents conventions, validation, and limitations.
Ready to try it
Start with a real language sample.
Create an account, upload or review a sample, and see how this feature appears inside the ConductSpeech workflow.