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README.md

@@ -23,11 +23,11 @@ Hebrew speech dataset derived from Knesset (Israeli Parliament) plenary sessions
 
 ## Dataset Description
 
-Long-form Knesset recordings were split into chunks of **up to 15 seconds**. Each chunk was then processed with [thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2](https://huggingface.co/thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2) to extract IPA phoneme transcriptions directly from audio.
+Long-form Knesset recordings were split into chunks of **up to 15 seconds**. Each chunk was transcribed to Hebrew text and then processed for IPA phoneme extraction from audio.
 
 Each sample pairs a WAV audio chunk with:
 - The original Hebrew text transcript
-- An IPA phoneme transcription extracted from the audio
+- An IPA phoneme transcription extracted from audio
 
 ### Dataset Stats
 
@@ -37,7 +37,8 @@ Each sample pairs a WAV audio chunk with:
 | Total samples | 49,433 |
 | Audio format | WAV |
 | Max chunk duration | 15 seconds |
-| IPA model | whisper-heb-ipa-large-v3-turbo-ct2 |
+| STT model | ivrit-ai/whisper-large-v3-turbo-ct2 |
+| IPA model | thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2 |
 
 ## Dataset Structure
 
@@ -67,7 +68,8 @@ phonemes: ʔadˈonˈi ʁˈoʃ hamemʃalˈa, χaveʁˈaj hasaʁˈim...
 
 1. Source audio from [Knesset VOX](https://huggingface.co/datasets/HebSanitized/Knesset-VOX) parliamentary recordings
 2. Split recordings into chunks of up to 15 seconds
-3. Run each chunk through [thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2](https://huggingface.co/thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2) to obtain IPA transcriptions directly from audio
+3. Transcribe each chunk to Hebrew text using [ivrit-ai/whisper-large-v3-turbo-ct2](https://huggingface.co/ivrit-ai/whisper-large-v3-turbo-ct2)
+4. Extract IPA phonemes from audio using [thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2](https://huggingface.co/thewh1teagle/whisper-heb-ipa-large-v3-turbo-ct2)
 
 ## Uses