הבנת אודיו

לצפייה ב-ai.google.dev הרצה ב-Google Colab הרצה ב-Kaggle פתיחה ב-Vertex AI צפייה במקור ב-GitHub

החל מ-Gemma 3n, אפשר להשתמש באודיו ישירות בהנחיות ובתהליכי העבודה. אודיו ושפה מדוברת הם מקורות עשירים של נתונים שאפשר להשתמש בהם כדי לזהות את הכוונות של המשתמשים, לתעד מידע על העולם שסביבנו ולהבין בעיות ספציפיות שצריך לפתור.

במדריך הזה מוסבר על היכולות של Gemma 4 לעיבוד אודיו, כולל זיהוי דיבור אוטומטי (ASR), תרגום והבנה כללית של דיבור.

ה-notebook הזה יפעל ב-GPU מסוג T4.

התקנת חבילות Python

מתקינים את הספריות של Hugging Face שנדרשות להרצת מודל Gemma ולשליחת בקשות.

# Install PyTorch & other libraries
pip install torch accelerate

# Install the transformers library
pip install transformers

טעינת מודל

משתמשים בספריות transformers כדי ליצור מופע של processor ושל model באמצעות המחלקות AutoProcessor ו-AutoModelForImageTextToText, כמו בדוגמת הקוד הבאה:

MODEL_ID = "google/gemma-4-E2B-it" # @param ["google/gemma-4-E2B-it","google/gemma-4-E4B-it", "google/gemma-4-31B-it", "google/gemma-4-26B-A4B-it"]

from transformers import AutoProcessor, AutoModelForMultimodalLM

model = AutoModelForMultimodalLM.from_pretrained(MODEL_ID, dtype="auto", device_map="auto")
processor = AutoProcessor.from_pretrained(MODEL_ID)
Loading weights:   0%|          | 0/2011 [00:00<?, ?it/s]

נתוני אודיו

נתוני אודיו דיגיטלי יכולים להגיע בפורמטים שונים וברמות רזולוציה שונות. פורמטי האודיו שבהם אפשר להשתמש עם Gemma, כמו פורמטים של MP3 ו-WAV, נקבעים על ידי המסגרת שבוחרים להמיר נתוני קול לטנסורים. ריכזנו כאן כמה שיקולים ספציפיים להכנת נתוני אודיו לעיבוד באמצעות Gemma:

  • עלות האסימון: כל שנייה של אודיו היא 25 אסימונים עבור Gemma 4. ‫(6.25 טוקנים ל-Gemma 3n).
  • אורך הקליפ: האורך המקסימלי של האודיו הוא 30 שניות.
  • ערוצי אודיו: נתוני האודיו מעובדים כערוץ אודיו יחיד. אם משתמשים באודיו רב-ערוצי, כמו ערוץ שמאלי וערוץ ימני, כדאי לצמצם את הנתונים לערוץ יחיד על ידי הסרת ערוצים או שילוב נתוני הקול לערוץ יחיד.
  • קידוד טכני:
    • תדירות דגימה: 16kHz באמצעות פריימים של 32ms.
    • עומק ביט: פורמט מספר ממשי (float) ב-32 ביט, עם דגימות מנורמלות בטווח [‎-1, 1].

אם נתוני האודיו שאתם מתכננים לעבד שונים באופן משמעותי מהעיבוד של הקלט, במיוחד מבחינת הערוצים, קצב הדגימה ועומק הביטים, כדאי לשקול דגימה מחדש או חיתוך של נתוני האודיו כדי להתאים לרזולוציית הנתונים שהמודל מטפל בה.

קידוד אודיו

ספריות ברמה גבוהה (כמו Hugging Face AutoProcessor) מטפלות בדרך כלל בעיבוד מקדים של אודיו באופן אוטומטי, אבל לפעמים צריך להטמיע קידוד בהתאמה אישית.

כשמקודדים נתוני אודיו באמצעות הטמעת קוד משלכם לשימוש ב-Gemma, צריך לפעול לפי תהליך ההמרה המומלץ. אם אתם עובדים עם קובצי אודיו שמקודדים בפורמט ספציפי, כמו נתונים מקודדים ב-MP3 או ב-WAV, אתם צריכים קודם לפענח אותם לדגימות באמצעות ספרייה כמו ffmpeg. אחרי שמפענחים את הנתונים, ממירים את האודיו לצורות גל של 16kHz float32 בערוץ מונו בטווח [‎-1, 1]. לדוגמה, אם אתם עובדים עם קובצי WAV של מספרים שלמים בפורמט PCM עם 16 ביטים, חתומים, סטריאו, בתדירות של 44.1‎ kHz, אתם צריכים לפעול לפי השלבים הבאים:

  • ביצוע דגימה מחדש של נתוני האודיו ל-16kHz
  • דאון-מיקס מסטריאו למונו על ידי חישוב ממוצע של 2 הערוצים
  • המרת הערך מ-int16 ל-float32, וחלוקה ב-32768.0 כדי לשנות את קנה המידה לטווח [‎-1, 1]

המרת דיבור לטקסט (STT)

מודלי Gemma 4 E2B ו-E4B מאומנים לזיהוי דיבור רב-לשוני, ומאפשרים לתמלל קלט אודיו בשפות שונות לטקסט. בדוגמאות הקוד הבאות אפשר לראות איך להנחות את המודל לתמלל טקסט מקובצי אודיו באמצעות Hugging Face Transformers:

RESOURCE_URL_PREFIX = "https://raw.githubusercontent.com/google-gemma/cookbook/refs/heads/main/Demos/sample-data/"

messages = [
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "Transcribe the following speech segment in its original language. Follow these specific instructions for formatting the answer:\n* Only output the transcription, with no newlines.\n* When transcribing numbers, write the digits, i.e. write 1.7 and not one point seven, and write 3 instead of three."},
            #{"type": "text", "text": "Transcribe the following speech segment in English into English text. Follow these specific instructions for formatting the answer:\n* Only output the transcription, with no newlines.\n* When transcribing numbers, write the digits, i.e. write 1.7 and not one point seven, and write 3 instead of three."},
            {"type": "audio", "audio": f"{RESOURCE_URL_PREFIX}journal1.wav"},
        ]
    }
]

input_ids = processor.apply_chat_template(
        messages,
        add_generation_prompt=True,
        tokenize=True, return_dict=True,
        return_tensors="pt",
)
input_ids = input_ids.to(model.device, dtype=model.dtype)

outputs = model.generate(**input_ids, max_new_tokens=64)

text = processor.batch_decode(
    outputs,
    skip_special_tokens=False,
    clean_up_tokenization_spaces=False
)
print(text[0])
<bos><|turn>user
Transcribe the following speech segment in its original language. Follow these specific instructions for formatting the answer:

* Only output the transcription, with no newlines.
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<|turn>model
I woke up early today feeling really fresh the morning light was beautiful and I enjoyed a nice cup of coffee<turn|>
messages = [
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "Give me a concise overview of these audio files."},
            {"type": "text", "text": "journal1:"},
            {"type": "audio", "audio": f"{RESOURCE_URL_PREFIX}journal1.wav"},
            {"type": "text", "text": "journal2:"},
            {"type": "audio", "audio": f"{RESOURCE_URL_PREFIX}journal2.wav"},
            {"type": "text", "text": "journal3:"},
            {"type": "audio", "audio": f"{RESOURCE_URL_PREFIX}journal3.wav"},
            {"type": "text", "text": "journal4:"},
            {"type": "audio", "audio": f"{RESOURCE_URL_PREFIX}journal4.wav"},
            {"type": "text", "text": "journal5:"},
            {"type": "audio", "audio": f"{RESOURCE_URL_PREFIX}journal5.wav"},
        ]
    }
]

input_ids = processor.apply_chat_template(
        messages,
        add_generation_prompt=True,
        tokenize=True, return_dict=True,
        return_tensors="pt",
)
input_ids = input_ids.to(model.device, dtype=model.dtype)

outputs = model.generate(**input_ids, max_new_tokens=1024)

text = processor.batch_decode(
    outputs,
    skip_special_tokens=False,
    clean_up_tokenization_spaces=False
)
print(text[0])
<bos><|turn>user
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<|turn>model
Here is a concise overview of the audio files:

**Journal 1:** The speaker felt refreshed, enjoyed a morning ride, a cup of coffee, and was generally happy.

**Journal 2:** The speaker spent the afternoon at the park, which was a perfect day for a walk, and enjoyed watching the cherry blossoms.

**Journal 3:** The speaker finished the day with a good book, feeling grateful for simple moments and ready for more.

**Journal 4:** The speaker returned from work, admiring the sunset, and enjoyed a clear view from the train.

**Journal 5:** The speaker had a great lunch with an old friend, enjoyed catching up, and felt happy about the day.<turn|>

תרגום דיבור אוטומטי

מודלי Gemma 4 E2B ו-E4B מאומנים למשימות תרגום דיבור רב-לשוני, ומאפשרים לכם לתרגם אודיו של דיבור ישירות לשפה אחרת. בדוגמאות הקוד הבאות מוצגות הנחיות למודל לתרגום אודיו של דיבור לטקסט באמצעות Hugging Face Transformers:

messages = [
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "Transcribe the following speech segment in English, then translate it into Korean. When formatting the answer, first output the transcription in English, then one newline, then output the string 'Korean: ', then the translation in Korean."},
            {"type": "audio", "audio": "https://ai.google.dev/gemma/docs/audio/roses-are.wav"},
        ]
    }
]

input_ids = processor.apply_chat_template(
        messages,
        add_generation_prompt=True,
        tokenize=True, return_dict=True,
        return_tensors="pt",
)
input_ids = input_ids.to(model.device, dtype=model.dtype)

outputs = model.generate(**input_ids, max_new_tokens=64)

text = processor.batch_decode(
    outputs,
    skip_special_tokens=False,
    clean_up_tokenization_spaces=False
)
print(text[0])
<bos><|turn>user
Transcribe the following speech segment in English, then translate it into Korean. When formatting the answer, first output the transcription in English, then one newline, then output the string 'Korean: ', then the translation in Korean.<|audio><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><audio|><turn|>
<|turn>model
Roses are red, violets are blue.
Korean: 장미는 빨갛고, 제비꽃은 파랗다.<turn|>

תרגום אוטומטי של דיבור / זיהוי אוטומטי של דיבור

נסו בעצמכם

pip install ipywebrtc

לוחצים על הכפתור העגול ומתחילים לדבר. בסיום, לוחצים שוב על לחצן העיגול. הווידג'ט יתחיל מיד להפעיל את מה שהוא צילם.

from google.colab import output
output.enable_custom_widget_manager()

from ipywebrtc import AudioRecorder, CameraStream

camera = CameraStream(constraints={'audio': True,'video':False})
recorder = AudioRecorder(stream=camera)
recorder
AudioRecorder(audio=Audio(value=b'', format='webm'), stream=CameraStream(constraints={'audio': True, 'video': …

המרת קובץ webm לפורמט wav ש-PyTorch יכול להבין.

with open('/content/recording.webm', 'wb') as f:
    f.write(recorder.audio.value)
!ffmpeg -i /content/recording.webm /content/recording.wav -y
ffmpeg version 4.4.2-0ubuntu0.22.04.1 Copyright (c) 2000-2021 the FFmpeg developers
  built with gcc 11 (Ubuntu 11.2.0-19ubuntu1)
  configuration: --prefix=/usr --extra-version=0ubuntu0.22.04.1 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --enable-gnutls --enable-ladspa --enable-libaom --enable-libass --enable-libbluray --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libgme --enable-libgsm --enable-libjack --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-libpulse --enable-librabbitmq --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libsrt --enable-libssh --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-libzmq --enable-libzvbi --enable-lv2 --enable-omx --enable-openal --enable-opencl --enable-opengl --enable-sdl2 --enable-pocketsphinx --enable-librsvg --enable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-libx264 --enable-shared
  libavutil      56. 70.100 / 56. 70.100
  libavcodec     58.134.100 / 58.134.100
  libavformat    58. 76.100 / 58. 76.100
  libavdevice    58. 13.100 / 58. 13.100
  libavfilter     7.110.100 /  7.110.100
  libswscale      5.  9.100 /  5.  9.100
  libswresample   3.  9.100 /  3.  9.100
  libpostproc    55.  9.100 / 55.  9.100
Input #0, matroska,webm, from '/content/recording.webm':
  Metadata:
    encoder         : Chrome
  Duration: 00:00:04.02, start: 0.000000, bitrate: 131 kb/s
  Stream #0:0(eng): Audio: opus, 48000 Hz, mono, fltp (default)
Stream mapping:
  Stream #0:0 -> #0:0 (opus (native) -> pcm_s16le (native))
Press [q] to stop, [?] for help
Output #0, wav, to '/content/recording.wav':
  Metadata:
    ISFT            : Lavf58.76.100
  Stream #0:0(eng): Audio: pcm_s16le ([1][0][0][0] / 0x0001), 48000 Hz, mono, s16, 768 kb/s (default)
    Metadata:
      encoder         : Lavc58.134.100 pcm_s16le
size=     383kB time=00:00:04.01 bitrate= 779.7kbits/s speed=60.6x    
video:0kB audio:382kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 0.019914%

ASR

messages = [{
  "role": "user",
  "content": [
    {"type": "text", "text": "Transcribe the following speech segment in its original language. Follow these specific instructions for formatting the answer:\n* Only output the transcription, with no newlines.\n* When transcribing numbers, write the digits, i.e. write 1.7 and not one point seven, and write 3 instead of three."},
    {"type": "audio", "audio": "/content/recording.wav"},
  ]
}]

input_ids = processor.apply_chat_template(
        messages,
        add_generation_prompt=True,
        tokenize=True, return_dict=True,
        return_tensors="pt",
)
input_ids = input_ids.to(model.device, dtype=model.dtype)

outputs = model.generate(**input_ids, max_new_tokens=64)

text = processor.batch_decode(
    outputs,
    skip_special_tokens=False,
    clean_up_tokenization_spaces=False
)
print(text[0])
<bos><|turn>user
Transcribe the following speech segment in its original language. Follow these specific instructions for formatting the answer:

* Only output the transcription, with no newlines.
* When transcribing numbers, write the digits, i.e. write 1.7 and not one point seven, and write 3 instead of three.<|audio><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><audio|><turn|>
<|turn>model
How can I get to the station?<turn|>

AST

messages = [{
  "role": "user",
  "content": [
    {"type": "text", "text": "Transcribe the following speech segment in English, then translate it into Korean. When formatting the answer, first output the transcription in English, then one newline, then output the string 'Korean: ', then the translation in Korean."},
    {"type": "audio", "audio": "/content/recording.wav"},
  ]
}]

input_ids = processor.apply_chat_template(
        messages,
        add_generation_prompt=True,
        tokenize=True, return_dict=True,
        return_tensors="pt",
)
input_ids = input_ids.to(model.device, dtype=model.dtype)

outputs = model.generate(**input_ids, max_new_tokens=64)

text = processor.batch_decode(
    outputs,
    skip_special_tokens=False,
    clean_up_tokenization_spaces=False
)
print(text[0])
<bos><|turn>user
Transcribe the following speech segment in English, then translate it into Korean. When formatting the answer, first output the transcription in English, then one newline, then output the string 'Korean: ', then the translation in Korean.<|audio><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><|audio|><audio|><turn|>
<|turn>model
How can I get to the station?
Korean: 역에 어떻게 가나요?<turn|>

סיכום והשלבים הבאים

במדריך הזה למדתם איך לעבד אודיו באמצעות מודלים של Gemma 4. בדוגמאות הודגם איך לבצע המרת דיבור לטקסט (ASR) כדי לתמלל שפה מדוברת, וגם איך לבצע תרגום אוטומטי של דיבור (AST) כדי לתרגם אודיו מדובר ישירות לשפה אחרת. ראיתם גם איך להקליט אודיו ממיקרופון בסביבת מחברת לעיבוד.

כדאי לקרוא את המאמרים הבאים לקבלת מידע נוסף.