Guides

Practical guides for teams buying conversational speech data for voice AI.

• How to Buy Full-Duplex Conversational Speech Data

  What full-duplex conversational speech data is, how much published systems used, the open and commercial options, and what to check in a sample before you buy.

  Nov 9, 2026 Read

• What Conversation Data Does a Humanoid Robot Need?

  What changes when the listener has a body: far-field and moving microphones, motor noise, several people at once, addressee detection, and talk during physical tasks. What exists today and what to ask for.

  Nov 9, 2026 Read

• Egocentric Video and Speech Datasets Compared

  EgoCom, Ego4D, Ego-Exo4D, EgoVerse, EPIC-KITCHENS, Seamless Interaction, MM-F2F, and otoSpeech Egocentric compared on conversation, per-speaker audio, group size, tasks, labels, and license.

  Nov 9, 2026 Read

• Multi-Party Conversation Data for Robots That Join a Group

  Why two-person data does not prepare a robot for a group, how addressee and floor control work with three or more people, and which multi-party benchmarks and datasets exist.

  Nov 9, 2026 Read

• Japanese Conversational Speech Datasets for Full-Duplex Models

  Academic, TTS, web-scale, and commercial Japanese conversation datasets compared on channel layout, role-play, sample rate, license, and how to get them, with the data behind J-Moshi.

  Nov 9, 2026 Read

• Korean Two-Speaker Conversational Speech Datasets Compared

  LDC telephone corpora, KsponSpeech, MagicData, Nexdata, SpeechData.ai, Basis Conversations 1500, and otoSpeech Korean compared on channels, sample rate, and license.

  Nov 9, 2026 Read

• How Much Full-Duplex Data Do You Need? What Published Systems Used

  How many hours of real two-channel conversation published full-duplex and speech-to-speech systems trained on, next to the rest of their training data.

  Nov 9, 2026 Read

• How to Check a Two-Channel Speech Dataset in 30 Minutes

  A hands-on audit of a two-channel speech sample: identical channels, crosstalk, overlap, true bandwidth, clipping, and transcript alignment, with scripts you can run.

  Nov 9, 2026 Read

• Fisher, Switchboard, and CALLHOME for Speech-to-Speech Models: Licenses and Alternatives

  What Fisher, Switchboard, and CALLHOME contain, how LDC licenses them, why telephone audio limits speech generation, and the alternatives with their licenses.

  Nov 9, 2026 Read

• End-of-Turn Detection: Benchmarks and Training Data

  Turn-taking benchmarks and their metrics, open end-of-turn detectors, and the training data behind them, including TurnBench and otoTurn.

  Nov 9, 2026 Read

• Turn-Taking Labels: What to Annotate for Voice Agents

  The turn-taking events worth labeling for voice agents, how published schemes define them, human versus model labels, and what to ask a vendor.

  Nov 9, 2026 Read

• Real vs. Synthetic Dialogue for Speech-to-Speech Training

  What published speech-to-speech systems did with synthetic dialogue, what it cannot provide, and how teams mix it with real two-channel conversation.

  Nov 9, 2026 Read

• Free Conversation, Role-Play, or Scripted: What Each Teaches a Speech Model

  What free conversation, role-play, and scripted dialogue each teach a full-duplex or TTS model, with measured overlap from Japanese samples.

  Nov 9, 2026 Read