Hidden Markov Model Toolkit
Jasper
Sensory
Yack.net
Speechmatics
The FTW Transcriber
TrulyNatural
LumenVox ASR
Deepgram
Speechmatics
AssemblyAI
Fraim
LumenVox ASR
Lilyspeech
Speechnotes
Whipnote
Hidden Markov Model Toolkit DeepgramNo Hidden Markov Model Toolkit videos yet. You could help us improve this page by suggesting one.
It's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.
don't get me wrong it's still faster than amazon, Microsoft or Assemblyai
Based on our record, Deepgram seems to be a lot more popular than Hidden Markov Model Toolkit. While we know about 27 links to Deepgram, we've tracked only 1 mention of Hidden Markov Model Toolkit. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The exact problem you're running into (pitch doubling/halving) with Praat is well-known, and that can easily be fixed on a per-speaker basis by tweaking the floor and ceiling settings. You should also be able to use a Praat script for pulling out the vowels as well (if you're just looking at segmentation, maybe there's something else you need Allosaurus for). Though, if you're looking at other tools and have... Source: about 1 year ago
Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / 4 months ago
There are other AI-powered APIs out there to consider, too. For example, Deepgram can be used to transcribe audio (better than Whisper, offered by OpenAI), ElevenLabs can be used to generate speech from text (including using custom voices, which OpenAI's TTS can't currently do), etc. Depending on what you're trying to make, a combination of these services may be what you need. In any case, Python is going to be... Source: 5 months ago
This guide delves deep into the world of YouTube video summarization, harnessing the power of cutting-edge technologies including Deepgram for superior audio transcription, Langchain for harvesting the power of the LLM, and Mistral 7B, a state-of-the-art and open-source LLM. - Source: dev.to / 5 months ago
Historically it's been challenging to provide closed captioning for live experiences, be it a live interview, a sports game with commentary, or a livestream. But Deepgram's AI tooling has changed this, allowing users to easily convert realtime streams of audio into accurate transcripts. - Source: dev.to / 6 months ago
To deliver the best possible output, we’ve tested a wide range of AI models and supporting tools. Today, we’re producing industry-leading clinical notes text by combining Deepgram’s highly capable transcription models, ScienceIO’s healthcare-specific AI for processing medical data, and the Microsoft Azure OpenAI GPT-4 large language model. We’ve worked closely with all three teams to bring this new capability to... - Source: dev.to / 7 months ago
Jasper - Jasper is an open source platform for developing always-on, voice-controlled applications.
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
Sensory - Sensory provides accurate, low-cost embedded voice and biometric AI. Sensory’s technologies have shipped in over a billion units of consumer products.
AssemblyAI - Speech Recognition for Everyone and Everything.
Yack.net - Recorded and transcribed calls for team collaboration
Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…
