Update how-to-custom-voice-training-data.md

Author: ms-feizhao

articles/ai-services/speech-service/how-to-custom-voice-training-data.md

@@ -87,7 +87,7 @@ It's important that the transcripts are 100% accurate transcriptions of the corr
 ## Long audio + transcript (Preview)
 
 > [!NOTE]
-> For **Long audio + transcript (Preview)**, only these languages are supported: Chinese (Mandarin, Simplified), English (India), English (United Kingdom), English (United States), French (France), German (Germany), Italian (Italy), Japanese (Japan), Portuguese (Brazil), and Spanish (Mexico). 
+> For **Long audio + transcript (Preview)**, only these languages are supported: Chinese (Mandarin, Simplified), Chinese (Cantonese, Traditional), Chinese (Taiwanese Mandarin), English (India), English (United Kingdom), English (United States), French (France), German (Germany), Italian (Italy), Japanese (Japan), Portuguese (Brazil), Spanish (Spain) and Spanish (Mexico).
 
 In some cases, you might not have segmented audio available. The Speech Studio can help you segment long audio files and create transcriptions. The long-audio segmentation service uses the [Batch Transcription API](batch-transcription.md) feature of speech to text.
 
@@ -110,7 +110,7 @@ Follow these guidelines when preparing audio for segmentation.
 > [!NOTE]
 > The default sampling rate for a custom neural voice is 24 KHz. Audio files with a sampling rate lower than 16,000 Hz will be rejected. Your audio files with a sampling rate higher than 16,000 Hz and lower than 24 KHz will be up-sampled to 24 KHz to train a neural voice. It's recommended that you should use a sample rate of 24 KHz and higher for your training data.
 >
-> For optimal segmentation results, it is recommended to include pauses of 0.5 to 1 second every 5 to 15 seconds of speech.
+> Segmented utterances should ideally be between 5 and 15 seconds long. For optimal segmentation results, it is recommended to include natural pauses of 0.5 to 1 second every 5 to 15 seconds of speech, preferably at the end of phrases or sentences.
 
 All audio files should be grouped into a zip file. It's OK to put .wav files and .mp3 files into the same zip file. For example, you can upload a 45-second audio file named 'kingstory.wav' and a 200-second long audio file named 'queenstory.mp3' in the same zip file. All .mp3 files will be transformed into the .wav format after processing.
 
@@ -133,7 +133,7 @@ After your dataset is successfully uploaded, we'll help you segment the audio fi
 ## Audio only (Preview)
 
 > [!NOTE]
-> For **Audio only (Preview)**, only these languages are supported: Chinese (Mandarin, Simplified), English (India), English (United Kingdom), English (United States), French (France), German (Germany), Italian (Italy), Japanese (Japan), Portuguese (Brazil), and Spanish (Mexico). 
+> For **Audio only (Preview)**, only these languages are supported: Chinese (Mandarin, Simplified), Chinese (Cantonese, Traditional), Chinese (Taiwanese Mandarin), English (India), English (United Kingdom), English (United States), French (France), German (Germany), Italian (Italy), Japanese (Japan), Portuguese (Brazil), Spanish (Spain) and Spanish (Mexico). 
 
 If you don't have transcriptions for your audio recordings, use the **Audio only** option to upload your data. Our system can help you segment and transcribe your audio files. Keep in mind, this service is charged toward your speech to text subscription usage.
 
@@ -152,7 +152,7 @@ Follow these guidelines when preparing audio.
 > [!NOTE]
 > The default sampling rate for a custom neural voice is 24 KHz. Your audio files with a sampling rate higher than 16,000 Hz and lower than 24 KHz will be up-sampled to 24 KHz to train a neural voice. It's recommended that you should use a sample rate of 24 KHz and higher for your training data.
 >
-> For optimal segmentation results, it is recommended to include pauses of 0.5 to 1 second every 5 to 15 seconds of speech.
+> Segmented utterances should ideally be between 5 and 15 seconds long. For optimal segmentation results, it is recommended to include natural pauses of 0.5 to 1 second every 5 to 15 seconds of speech, preferably at the end of phrases or sentences.
 
 All audio files should be grouped into a zip file. Once your dataset is successfully uploaded, the Speech service helps you segment the audio file into utterances based on our speech batch transcription service. Unique IDs are assigned to the segmented utterances automatically. Matching transcripts are generated through speech recognition. All .mp3 files will be transformed into the .wav format after processing. You can check the segmented utterances and the matching transcripts by downloading the dataset.