Update README.md

README.md

@@ -15,7 +15,7 @@ base_model: kyutai/moshiko-pytorch-bf16
 pipeline_tag: audio-to-audio
 ---
 
-# Hindi-Moshi: A Full-Duplex Conversational Model for Hindi
+# Human-1: A Full-Duplex Conversational Model for Hindi
 **🎙️ [Try the live demo →](https://ai.joshtalks.com/research/josh1)**
 
 Hindi-Moshi is the first full-duplex spoken dialogue model for Hindi, built by adapting [Kyutai's Moshi](https://github.com/kyutai-labs/moshi) architecture. It enables real-time, natural Hindi conversation with support for interruptions, overlaps, backchannels, and natural turn-taking — trained on 26,000 hours of real spontaneous Hindi conversations from 14,695 speakers.
@@ -120,9 +120,9 @@ Temperature τ=0.9 produces turn-taking dynamics closest to ground-truth.
 | Model | τ | IPU/min | Pause | Gap | Overlap |
 |---|---|---|---|---|---|
 | Ground-truth | — | 35.30 | 10.49 | 8.51 | 3.03 |
-| Hindi-Moshi | 0.8 | 23.12 | 9.16 | 6.77 | 1.67 |
-| Hindi-Moshi | 0.9 | 29.14 | 9.24 | 8.54 | 4.30 |
-| Hindi-Moshi | 1.0 | 38.90 | 11.67 | 8.10 | 9.68 |
+| Human-1 | 0.8 | 23.12 | 9.16 | 6.77 | 1.67 |
+| Human-1 | 0.9 | 29.14 | 9.24 | 8.54 | 4.30 |
+| Human-1 | 1.0 | 38.90 | 11.67 | 8.10 | 9.68 |
 
 ## Conversation Style