Python labrijisaad/Youtube-video-transcriptor Star13 In this notebook, I implemented a script to transcribe YouTube videos (and audio files in general) using Google's speech-to-text API. youtubeyoutube-videospe
# Imports the Google Cloud client library from google.cloud import speech import os os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = 'key.json' # Instantiates a client client = speech.SpeechClient() # The name of the audio file to transcribe gcs_uri = "gs://cloud-samples-data/speech/brooklyn...
The Whisper Hindi ASR (Automatic Speech Recognition) model utilizes the KathBath dataset, a comprehensive collection of speech samples in Hindi. Trained on this dataset, Whisper employs advanced deep learning techniques to accurately transcribe spoken Hindi into text. ...
Google provides two ways to transcribe pre-recorded audio based on the length of the file, whereas Deepgram provides one way. Deepgram is designed to handle large volumes of call recordings making it simple to transcribe whether they are one minute or multiple hours long. ...
Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech ...
问TransportError:从Python2.7调用Google的HTTPSConnectionPool错误EN调用Google 翻译API进行翻译 #!/usr/...
...可以选择第三方 API (如 Google Cloud Speech-to-Text, Amazon Transcribe, 讯飞语音等) 或自建模型。...可以使用 NLTK, spaCy, transformers 等库或云端 NLP 服务 (如 Google Cloud Natural Language, Amazon Comprehend)。...可以选择第三方 API (如 Google Cloud Text-to-Speech, Amazon Polly, 讯飞...
The credit of which goes to TensorFlow, an open-source software library for building machine learning applications. TensorFlow is highly popular among developers. Vendor AL/ML IoT Serverless AWS •Comprehend •Lex •Polly •Rekognition •Machine Learning •Translate •Transcribe •DeepLens...
Gemini 1.0 Nano is the smallest version of the 1.0 family designed to operate on mobile devices, even without a data network. It can perform on-device tasks such as describe images, suggest replies to chat messages,summarize textand transcribe speech. ...
JAX is not a Deep Learning framework or library, and it is not designed to ever be a Deep Learning framework or library in and of itself. In a sentence, JAX is a high performance, numerical computing library which incorporates composable function transformations[1]. As we can see, Deep ...