Bài kiểm tra phát hiện hoạt động bằng giọng nói

Câu trả lời và giải thích xuất hiện khi bạn làm bài kiểm tra.

1. Công việc chính của Phát hiện hoạt động giọng nói là gì?
   • Quyết định xem âm thanh có chứa lời nói hay không
   • Xác định ai đang nói
   • Dịch lời nói thành văn bản
   • Tạo giọng nói tổng hợp
2. How does the OpenAI Realtime API’s server_vad mode determine audio chunks?
   • By identifying the speaker’s legal name
   • By using periods of silence
   • By examining image frames
   • By grouping words alphabetically
3. What does silence_duration_ms configure in server_vad?
   • The length of the speaker embedding
   • Tốc độ lấy mẫu âm thanh
   • How long a silent interval is used to detect that speech has stopped
   • How many words appear in a transcript
4. What range does the documented server_vad activation threshold use?
   • -100 to 100
   • 1 to 1000
   • Only the strings “low” and “high”
   • 0 đến 1
5. How does semantic_vad estimate that a user has finished speaking?
   • It uses a semantic classifier based on the words the user has uttered
   • It waits for exactly 500 milliseconds of silence only
   • It checks for a camera image
   • It counts speaker turns from a diarization transcript
6. What does high eagerness do in semantic_vad?
   • It waits longer before every response
   • It chunks audio sooner and can return transcription events faster
   • It disables all speech detection
   • It increases the number of speakers in the audio
7. What is the documented default equivalent of semantic_vad eagerness set to auto?
   • số không
   • High
   • Trung bình
   • No threshold
8. Why may a streaming VAD include padding before detected speech?
   • To add words that were not spoken
   • To identify the real-world speaker name
   • To reduce every utterance to one frame
   • To preserve audio immediately preceding the detected onset