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@@ -22,7 +22,7 @@ Each instance is a voice pair (one reference audio clip plus one comparison audi
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  9,800 voice pairs, 124,876 listener judgments, 1,290 listeners, 100 speakers, 9,900 audio files (100 reference + 9,800 comparison).
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  **Does the dataset contain all possible instances or is it a sample?**
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- It is a designed sample. 100 speakers were selected to balance 5 sociophonetic groups x 2 genders x 2 age brackets, 5 speakers per cell. Pairs were sampled to cover six stimulus types: same recording, same speaker different recording, same speaker AI clone, different speaker different recording, different speaker AI clone, and continuously morphed pairs.
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  **What data does each instance consist of?**
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  - A reference audio clip (16 kHz mono WAV, ~6 seconds).
@@ -58,7 +58,7 @@ No. Stimuli are conversational speech.
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  **How was the data acquired?**
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  - Reference audio: selected from publicly available recordings (interviews, podcasts) of 100 US celebrities.
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- - Comparison audio: a mix of additional clips of the same speakers, AI voice clones generated with a state-of-the-art TTS system from a short reference clip per speaker, and continuously morphed pairs sweeping a voice-conversion latent.
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  - Judgments: 1,290 adult English-speaking listeners recruited via the Centaur AI platform. Each pair received at least 8 judgments.
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  **What mechanisms or procedures were used to collect the data?**
 
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  9,800 voice pairs, 124,876 listener judgments, 1,290 listeners, 100 speakers, 9,900 audio files (100 reference + 9,800 comparison).
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  **Does the dataset contain all possible instances or is it a sample?**
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+ It is a designed sample. 100 speakers were selected to balance 5 sociophonetic groups (New York City English, Southern American English, African American English, Latino English, Asian American English) x 2 genders x 2 age brackets (under 45, and 55 or older), 5 speakers per cell. Pairs were sampled to cover six stimulus types: same recording (Type 1, 100 pairs), same speaker different recording (Type 2, 400 pairs), same speaker AI clone (Type 3, 400 pairs), different speaker different recording (Type 4, 400 pairs), different speaker AI clone (Type 5, 400 pairs), and continuously morphed pairs (Type 6, 8,100 pairs).
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  **What data does each instance consist of?**
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  - A reference audio clip (16 kHz mono WAV, ~6 seconds).
 
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  **How was the data acquired?**
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  - Reference audio: selected from publicly available recordings (interviews, podcasts) of 100 US celebrities.
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+ - Comparison audio: a mix of additional natural clips of the same or different speakers (Types 2 and 4); AI voice clones generated with the Cartesia TTS system, seeded from a natural source clip of the speaker being cloned (Types 3 and 5; the variant letter in the stimulus ID identifies the seed, which is the same source clip used as the comparison in the matched Type 2 or Type 4 pair); and continuously morphed pairs (Type 6) generated using the voice-morphing feature of the same Cartesia system. For each reference speaker, morphs interpolate the latent voice representation toward each of 4 within-group comparison speakers (matched on sociophonetic group, age group, and gender) at 2 distinct recordings per comparison speaker, sampled at 10 morph scales between 0 and 1, plus 1 anchor at scale 1: 4 x 2 x 10 + 1 = 81 stimuli per reference speaker, 8,100 total.
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  - Judgments: 1,290 adult English-speaking listeners recruited via the Centaur AI platform. Each pair received at least 8 judgments.
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  **What mechanisms or procedures were used to collect the data?**