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Google Colab में चलाएं
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Gemma 3n से शुरू करके, सीधे तौर पर अपने प्रॉम्प्ट और वर्कफ़्लो में ऑडियो का इस्तेमाल किया जा सकता है. ऑडियो और बोली जाने वाली भाषा, उपयोगकर्ता के इरादे समझने, हमारे आस-पास की दुनिया के बारे में जानकारी रिकॉर्ड करने, और हल की जाने वाली खास समस्याओं को समझने के लिए डेटा के अहम सोर्स हैं.
इस गाइड में, Gemma 4 की ऑडियो प्रोसेसिंग की क्षमताओं के बारे में खास जानकारी दी गई है. इनमें अपने-आप बोली पहचानने की सुविधा (एएसआर), अनुवाद, और सामान्य बोली को समझना शामिल है.
यह नोटबुक, T4 GPU पर चलेगी.
Python पैकेज इंस्टॉल करना
Gemma मॉडल को चलाने और अनुरोध करने के लिए, Hugging Face की ज़रूरी लाइब्रेरी इंस्टॉल करें.
# Install PyTorch & other librariespip install torch accelerate# Install the transformers librarypip install transformers
मॉडल लोड करें
transformers लाइब्रेरी का इस्तेमाल करके, processor और model का एक इंस्टेंस बनाएं. इसके लिए, AutoProcessor और AutoModelForImageTextToText क्लास का इस्तेमाल करें. जैसा कि कोड के इस उदाहरण में दिखाया गया है:
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]
ऑडियो डेटा
डिजिटल ऑडियो डेटा कई फ़ॉर्मैट और रिज़ॉल्यूशन लेवल में उपलब्ध हो सकता है. Gemma के साथ इस्तेमाल किए जा सकने वाले ऑडियो फ़ॉर्मैट, जैसे कि MP3 और WAV फ़ॉर्मैट, उस फ़्रेमवर्क से तय होते हैं जिसका इस्तेमाल, साउंड डेटा को टेंसर में बदलने के लिए किया जाता है. Gemma के साथ प्रोसेस करने के लिए ऑडियो डेटा तैयार करते समय, इन बातों का ध्यान रखें:
- टोकन की कीमत: Gemma 4 के लिए, ऑडियो के हर सेकंड के लिए 25 टोकन लगते हैं. (Gemma 3n के लिए 6.25 टोकन).
- क्लिप की अवधि: ऑडियो की अवधि ज़्यादा से ज़्यादा 30 सेकंड हो सकती है.
- ऑडियो चैनल: ऑडियो डेटा को एक ऑडियो चैनल के तौर पर प्रोसेस किया जाता है. अगर मल्टी-चैनल ऑडियो का इस्तेमाल किया जा रहा है, जैसे कि बायां और दायां चैनल, तो डेटा को एक चैनल में कम करने के लिए, चैनलों को हटाएं या साउंड डेटा को एक चैनल में मिलाएं.
- तकनीकी कोडिंग:
- सैंपल रेट: 32 मि॰से॰ के फ़्रेम का इस्तेमाल करके 16 किलोहर्ट्ज़.
- बिट डेप्थ: 32-बिट फ़्लोट फ़ॉर्मैट. इसमें सैंपल को [-1, 1] की रेंज में नॉर्मलाइज़ किया जाता है.
अगर आपको जिस ऑडियो डेटा को प्रोसेस करना है वह इनपुट प्रोसेसिंग से काफ़ी अलग है, तो खास तौर पर चैनल, सैंपल रेट, और बिट डेप्थ के हिसाब से, अपने ऑडियो डेटा को रीसैंपल करें या ट्रिम करें. इससे, मॉडल के ज़रिए हैंडल किए गए डेटा रिज़ॉल्यूशन से मैच किया जा सकेगा.
ऑडियो एन्कोडिंग
ज़्यादातर मामलों में, हाई-लेवल लाइब्रेरी (जैसे, Hugging Face AutoProcessor) ऑडियो प्रीप्रोसेसिंग को अपने-आप हैंडल करती हैं. हालांकि, कभी-कभी आपको कस्टम एन्कोडिंग लागू करने की ज़रूरत पड़ सकती है.
Gemma के साथ इस्तेमाल करने के लिए, ऑडियो डेटा को अपने कोड के साथ एन्कोड करते समय, आपको कन्वर्ज़न की सुझाई गई प्रोसेस का पालन करना चाहिए. अगर आपको किसी खास फ़ॉर्मैट में कोड की गई ऑडियो फ़ाइलों, जैसे कि MP3 या WAV में कोड किए गए डेटा के साथ काम करना है, तो आपको पहले इन्हें ffmpeg जैसी लाइब्रेरी का इस्तेमाल करके सैंपल में डिकोड करना होगा. डेटा डिकोड होने के बाद, ऑडियो को मोनो-चैनल में बदलें. साथ ही, इसे [-1, 1] रेंज में 16 kHz float32 वेवफ़ॉर्म में बदलें. उदाहरण के लिए, अगर आपको 44.1 किलोहर्ट्ज़ पर स्टीरियो साइंड 16-बिट पीसीएम पूर्णांक वाली WAV फ़ाइलों के साथ काम करना है, तो यह तरीका अपनाएं:
- ऑडियो डेटा को 16 किलोहर्ट्ज़ पर फिर से सैंपल करें
- दोनों चैनलों की आवाज़ को मिलाकर स्टीरियो से मोनो में डाउनमिक्स करना
- int16 को float32 में बदलें और [-1, 1] की रेंज में स्केल करने के लिए, इसे 32768.0 से भाग दें
बोली लिखाई में बदलें
Gemma 4 E2B और E4B को कई भाषाओं में बोली जाने वाली आवाज़ को पहचानने की ट्रेनिंग दी गई है. इससे, ऑडियो इनपुट को कई भाषाओं में टेक्स्ट में बदला जा सकता है. यहां दिए गए कोड के उदाहरणों में, Hugging Face Transformers का इस्तेमाल करके, ऑडियो फ़ाइलों में बोले गए शब्दों को टेक्स्ट में बदलने के लिए मॉडल को प्रॉम्प्ट करने का तरीका बताया गया है:
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. * 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|><|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|><|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 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 Give me a concise overview of these audio 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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|>
बातचीत का अपने-आप अनुवाद होने की सुविधा
Gemma 4 E2B और E4B को, कई भाषाओं में बोले गए शब्दों का अनुवाद करने के लिए ट्रेन किया गया है. इससे, बोले गए ऑडियो का सीधे तौर पर किसी दूसरी भाषा में अनुवाद किया जा सकता है. यहां दिए गए कोड के उदाहरणों में, Hugging Face Transformers का इस्तेमाल करके, बोले गए ऑडियो को टेक्स्ट में बदलने के लिए मॉडल को प्रॉम्प्ट करने का तरीका बताया गया है:
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|>
अपने-आप बोली का अनुवाद होने की सुविधा / अपने-आप बोली पहचानने की सुविधा
इसे खुद आज़माकर देखें
pip install ipywebrtcसर्कल वाले बटन को दबाकर रखें और बोलना शुरू करें. जब आपका काम पूरा हो जाए, तो सर्कल बटन पर फिर से क्लिक करें. विजेट, रिकॉर्ड की गई आवाज़ को तुरंत चलाना शुरू कर देगा.
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': …
webm फ़ाइल को ऐसे wav फ़ॉर्मैट में बदलें जिसे PyTorch समझ सके.
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|>
खास जानकारी और अगले चरण
इस गाइड में, आपने Gemma 4 मॉडल का इस्तेमाल करके ऑडियो प्रोसेस करने का तरीका सीखा. इन उदाहरणों में, बोली गई भाषा को टेक्स्ट में बदलने (एएसआर) और बोली गई भाषा का अपने-आप अनुवाद करने (एएसटी) का तरीका बताया गया है. एएसटी की मदद से, बोली गई भाषा का सीधे तौर पर किसी दूसरी भाषा में अनुवाद किया जा सकता है. आपने यह भी देखा कि नोटबुक के एनवायरमेंट में, माइक्रोफ़ोन से ऑडियो कैप्चर करके उसे प्रोसेस कैसे किया जाता है.
ज़्यादा जानकारी के लिए, यहां दिया गया दस्तावेज़ देखें.
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