Avery AI
Avery AI converts audio to text. We supports two types of audio-to-text technology. ASR and DeepSpeech,
to decipher the sounds that make up human speech.
Avery AI converts audio to text. We supports two types of audio-to-text technology. ASR and DeepSpeech,
to decipher the sounds that make up human speech.
ASR(automatic speech recognition) is a deep learning process to convert speech to text quickly and accurately.
Mozilla DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. Avery AI trained the model in a way it outperform the ASR.
Avery AI adds speaker diarization, punctuation, and formatting automatically, so the production closely resembles manual transcription quality at a fraction of the time and cost. Speech to text processing may be used to transcribe live audio streams or batch audio files.
From the supported language transcripts, Avery AI will recognize and redact sensitive personally identifiable information (PII). This makes it simple for contact centers to review and exchange transcripts for customer feedback and agent training.
You may add new terms to the base vocabulary or train your own language model to produce more precise transcriptions for domain-specific words and phrases like product names, technical terminology, or person names using custom vocabulary lists and custom language models.
Contact centers may use Avery AI to start extracting value from unstructured voice call data. Avery AI can be used to create post-call analytics applications to detect patterns and voice of customer insights by translating these audio calls into text.
By automatically producing time-stamped subtitles that can be shown alongside video content, Avery AI can help content creators and media distributors boost scope and accessibility.
For highlight generation, compliance monitoring, content usage analysis, and monetization, you can use Avery AI to transform audio and video assets into completely searchable archives.
A common use case for voice analytics is to increase revenue by analyzing calls. Sales organizations can better understand what approaches result in good sales by using AI-powered voice analytics, and train for those techniques. Understanding the customer's desire to purchase, common questions, and hesitations will help the sales reps close more deals faster and with greater insight.
This is awesome, Avery AI provides a very powerful and smart file conversion service, you will love it.
Thanks to Avery AI, this allows me to recognize speech easily. I have never been so relaxed as today.
Avery AI is simply too convenient, it can quickly and accurately translate many types of video and audio files.