Audio source
EmptySignal desk
Start with a representative signalUse the safe synthesized sample or inspect a local WAV, MP3, M4A, or OGG file.
Awaiting signal
--duration
--sample rate
--peak
--noise floor
Know before you transcribe.
Inspect signal readiness, pressure-test your constraints, and leave with a pipeline your team can benchmark.
Diagnostic, not transcription. Recommendations show their assumptions.
Deployment constraints
LiveConfigure the real job
4 / 5
Recommendations update from signal evidence and the constraints above.
82
Signal findings
- Sample rate Strong
- Clipping Low
- Noise risk Moderate
- Speaker overlap Test
Decision snapshot
- Model family Balanced multilingual
- Deployment Managed endpoint
- Diarization Required
- Benchmark Speaker WER
Recommended path
Brief readyA traceable first benchmark
01 inputNormalize safelyPreserve original; create a 16 kHz working copy.
02 segmentAdaptive VAD20 ms frames; 500 ms speech padding.
03 inferBalanced modelBatch chunks with timestamps.
04 attributeDiarize speakersScore overlap separately.
05 evaluateBenchmark 30 clipsWER, names, omissions, speaker errors.
What changed
Two speakers and a balanced latency target make timestamped chunking plus diarization more valuable than the fastest streaming path.
Two speakers and a balanced latency target make timestamped chunking plus diarization more valuable than the fastest streaming path.
Do next
Collect 30 representative clips and audit names, omissions, and speaker attribution before choosing a provider.
Collect 30 representative clips and audit names, omissions, and speaker attribution before choosing a provider.
From waveform to a decision your team can defend.
Use the sample, set the real constraints, and export a benchmark plan with assumptions attached.
Model noisy, multilingual, overlapping speech without pretending those conditions are solved automatically.
Invalid files remain local, produce a clear error, and can be replaced or reset without stale audio data.