Many samples, one workflow
Batch Language Sample Analysis
Research labs, university programs, and clinical teams often need to process more than one sample at a time. ConductSpeech supports batch language sample workflows so teams can analyze, review, and export results consistently.
Batch analysis is built for projects where repeatability matters: student training sets, study sets, program evaluation, and multi-sample clinical review.
Sample result
Batch Language Sample Analysis
Study set
Analyze multiple language samples with consistent metrics.
Graduate training
Prepare sample sets for scoring and reliability review.
Program review
Summarize patterns across a caseload or study group.
Scale
Many samples
Metrics
Consistent outputs
Exports
CSV and stats-ready data
Use
Research and training
Scale
Many samples
Metrics
Consistent outputs
Exports
CSV and stats-ready data
Use
Research and training
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.
Designed for repeatable analysis
Batch workflows help teams apply the same analysis approach across a set of samples. That makes it easier to compare results, audit outputs, and export data for study workflows.
Useful for labs and programs
University clinics, research labs, and school program teams can use batch workflows to reduce repetitive processing while keeping reviewed metrics and exports organized.
- Process multiple samples with the same metric set.
- Export results for spreadsheets or statistical tools.
- Use a shared workflow for training and QA.
- Document methods consistently across a project.
Review still matters
Batch processing saves time, but it does not remove the need for quality review. Teams should inspect transcripts, sample quality, and outliers before drawing conclusions.
What users see
Batch workflow examples
A compact result view turns the feature into reviewable language, not a technical readout.
Study set
Analyze multiple language samples with consistent metrics.
Graduate training
Prepare sample sets for scoring and reliability review.
Program review
Summarize patterns across a caseload or study group.
Clinical interpretation notes
- Batch outputs should be reviewed for transcript quality and task consistency.
- Research teams should document methods, version, and review procedures in their study materials.
Related pages
Inter-Rater Reliability for Transcripts
Compare two independent language sample transcripts and review agreement for training and QA workflows.
Discourse Protocols for Language Sampling
Choose conversation, narrative, expository, persuasion, and play protocols for clearer language sample comparisons.
Grade-Stratified Language Sample Norms
Compare school-age language samples by grade, age, and task type with source-aware norm explanations.
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.