SALT-compatible workflow
SALT-Compatible Language Sample Analysis
ConductSpeech brings SALT-style language sample analysis into a browser workflow built for modern SLPs. Clinicians can record or upload a sample, review the AI transcript, apply familiar coding conventions, and generate reports from the reviewed metrics.
The important difference is control: ConductSpeech does not ask clinicians to trust a black box. It gives them an editable transcript, visible metrics, source-aware norm comparisons, and a report that reflects the sample they reviewed.
Sample result
SALT-Compatible Language Sample Analysis
Transcript
SALT-style speaker lines and editable codes
Core metrics
MLU, TTR, NDW, NTW, PGU, errors
SALT structure
Subordination Index, C-units, clauses
Workflow
Record, edit, analyze, report
Syntax
C-units, clauses, SI
Fluency
Mazes and verbal facility
Training
Reliability comparison
Workflow
Record, edit, analyze, report
Syntax
C-units, clauses, SI
Fluency
Mazes and verbal facility
Training
Reliability comparison
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.
A complete language sample workflow
A school or clinic can use one workflow for timed recordings, typed samples, transcript review, metric calculation, norm comparison, and report generation. That removes the handoff between generic transcription software, spreadsheets, desktop-only coding tools, and a separate report template.
- Start with audio upload, browser recording, or typed utterances.
- Review and edit the transcript before relying on metrics.
- Use protocol and grade context when comparisons are available.
- Generate reports from the same reviewed data shown in the dashboard.
Built for SALT-trained clinicians
ConductSpeech supports the concepts clinicians expect from SALT-style work: speaker lines, mazes, error codes, C-units, Subordination Index, verbal facility, protocol matching, and inter-rater reliability. The product does not copy SALT's desktop interface; it uses the conventions clinicians already understand inside a faster cloud workflow.
Transparent enough for clinical review
Every advertised metric is visible before report generation. If a sample lacks word timing, verbal facility is shown as unavailable rather than invented. If an exact grade and protocol comparison is not available, the interface explains that it is using the closest supported comparison.
What users see
What a reviewed sample can include
A compact result view turns the feature into reviewable language, not a technical readout.
Transcript
SALT-style speaker lines and editable codes
Core metrics
MLU, TTR, NDW, NTW, PGU, errors
SALT structure
Subordination Index, C-units, clauses
Fluency
Maze summary and timed verbal facility when available
Clinical interpretation notes
- ConductSpeech is SALT-compatible, not SALT-certified or SALT-licensed.
- Clinicians remain responsible for final interpretation and report sign-off.
- Norm comparisons depend on available age, grade, and protocol references.
Related pages
SALT Transcript Editor
Edit AI-drafted transcripts with SALT-style codes, review suggestions, and re-analyze language sample metrics instantly.
Subordination Index and C-Units
Calculate C-units, clauses, and Subordination Index for school-age language samples without hand-counting.
Maze Analysis for Language Samples
Review filled pauses, repetitions, revisions, abandoned starts, and maze words per 100 words in 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.