Sourcing option
Telephone speech data for ASR
Scope call recordings and reference transcripts for speech recognition training or evaluation.
Telephony · Dialogue · Speech models
Call datasets.
Real conversational detail.
Telephone conversations contain turn-taking, interruptions, accents, and channel conditions that a studio script may never reproduce. Tell us which characteristics matter to your model.
A direct line to Fiund. Source fit and permissions reviewed for your project.
Task-first scope
Specify the outcome your model needs.
Source context
Keep file meaning and lineage connected.
Reviewable quality
Agree on evidence and acceptance criteria.
Direct conversation
Speak with Jaeden at Fiund.
Original photography
The real environment behind recorded speech.
Microphones, rooms, people, and channel equipment from our own studio. These are studio photographs and recordings; customer-call sources and channel requirements are reviewed separately.
Real source photographs and video frames. Editorial examples; dataset availability and permitted uses are reviewed separately.View sources & full gallery →
Dataset solutions
Find the right source for the model task.
Sourcing option
Call data for speaker diarization
Plan speaker-turn references, overlap cases, and channel requirements for who-spoke-when tasks.
Sourcing option
Call conversations for intent and summarization
Specify call reasons, evidence-backed summaries, and task labels for conversation understanding.
Sourcing option
Multilingual telephone conversation data
Plan language combinations, mixed-language speech, and reference review for call audio tasks.
Sourcing option
Held-out call data for model evaluation
Design independent conversation tests with clear references, useful slices, and documented limitations.
Category context
Different sources. Different review questions.
Customer-agent conversations
Customer support, sales, and service interactions. Describe industry, call direction, conversational style, and whether authentic existing calls are essential.
Language and accent coverage
Specify language, region, dialect, and code-switching requirements. Counts should be discussed by language and source rather than hidden in a single multilingual total.
Transcripts and speaker information
Request the required transcript conventions, speaker attribution, timestamps, or diarization labels. Clarify what is delivered as original audio versus derived annotation.
Why the details matter
Better data starts with a better definition.
A useful call dataset brief distinguishes real customer-agent calls from staged conversations, single-channel mixtures from separate speaker tracks, and recordings from their transcripts. Call Datasets is a Fiund sourcing site for buyers who need those distinctions resolved before evaluating a collection.
Explore quality & provenance →Specification essentials
01Source and scenario
02Audio channels
03Transcript scope
04Permission and privacy
Technical scope
Specify the collection before counting the volume.
Source and scenario
Real or staged; inbound or outbound; industry, date range, and interaction types.
Audio channels
Mono mixture, stereo separation, or independent tracks; source encoding and sample rate.
Transcript scope
Verbatim or normalized text, timestamps, speaker labels, overlap, and non-speech conventions.
Permission and privacy
The specific proposed training uses, relevant source permissions, and de-identification requirements.
Real recordings
Recorded voices, actual people.
Real studio recording excerpts from our production archive. These are podcast and studio examples, rather than a claim that telephone-call recordings are available in this gallery.
Real conversations at Podcast Studio AZ
Recorded conversations at Podcast Studio AZ · 14 seconds · silent editorial clip.
Jaeden Schafer recording in his podcast studio
Jaeden’s original Riverside recording · 15 seconds · silent editorial clip.
Jaeden Schafer in a real Riverside recording
Jaeden’s original Riverside recording · 15 seconds · silent editorial clip.
Recorded voice
Jaeden Schafer — archival AI Chat speech excerpt
Real solo podcast speech from Jaeden’s July 2, 2025 recording. Editorial audio example; not a telephone call or an advertised training-data sample.
Read the automatic transcript
Today on the podcast, I wanted to do a big update on xAI, some things happening over at X, as I think this is a pretty significant amount of money that has just been put into the ecosystem.
How sourcing works
From the first brief to a reviewable handoff.
01 / PROJECT STAGE
Define the target
A useful call dataset brief distinguishes real customer-agent calls from staged conversations, single-channel mixtures from separate speaker tracks, and recordings from their transcripts. Call Datasets is a Fiund sourcing site for buyers who need those distinctions resolved before evaluating a collection.
02 / PROJECT STAGE
Write the specification
Languages, dialects, and regions; Call scenarios and real-versus-staged requirements; Hours, call lengths, and channel layout; Transcript and redaction specifications; Intended model use and licensing terms. These details establish the project’s review criteria and reveal where further clarification is needed.
03 / PROJECT STAGE
Review sourcing fit
Discuss which existing sources or collection approaches could address the brief. Identify access constraints, source documentation, and unanswered permission questions before treating a category as usable inventory.
04 / PROJECT STAGE
Inspect representative material
Where appropriate material can be shared, agree on handling and inspect it against the specification. Record defects, coverage gaps, and annotation questions against exact source identifiers.
05 / PROJECT STAGE
Agree the project scope
Confirm the selected material, intended uses, preparation work, acceptance criteria, commercial terms, and delivery arrangements in a project-specific agreement.
06 / PROJECT STAGE
Review the handoff
Check file references, manifests, documented processing, and accepted exceptions. Keep permission review and technical acceptance explicit, and resolve open issues before the collection is treated as approved for the intended use.
Field notes
Practical reading for a sharper brief.
Resource guide
Designing a telephone ASR evaluation set
Specify telephone conditions, reference transcripts, and useful scoring slices before comparing speech recognition systems.
Resource guide
Mono and stereo call recordings: what to inspect
Channel count alone does not tell you whether callers and agents are separated.
Resource guide
Specifying speaker diarization labels for calls
Define speaker turns, overlap, and role mapping separately from the words being spoken.
Resource guide
Transcription conventions for conversational call audio
Make hesitation, numbers, uncertainty, and interrupted speech consistent across a call corpus.
Resource guide
Measuring language coverage in call datasets
Count languages, conversation types, and independent speakers rather than relying on a broad multilingual label.
Resource guide
Code-switching in telephone speech datasets
Define mixed-language segments and annotation rules without forcing a whole conversation into one language.
Common questions
Before you source.
Is stereo audio necessarily separated by speaker?
No. A two-channel file should be inspected to establish what each channel contains. If agent and customer separation is required, state it explicitly and request samples that demonstrate the channel layout.
Can I request authentic calls instead of role-play?
Yes. Make authenticity a required property and identify acceptable scenarios. Source documentation, permissions, and privacy handling need project-specific review.
Can I send a short inquiry without a complete specification?
Yes. Start with language, approximate volume, scenario, and intended use. Jaeden can follow up on the missing details before discussing suitable sources or samples.