Think-A-Move SPEAR Speech Recognition
Kaldi
Kaldi ASR
OnPay
Speechmatics
CMU Sphinx
HTK
Tolgee
Deepgram
Speechmatics
AssemblyAI
Fraim
LumenVox ASR
Lilyspeech
Speechnotes
Recordense
SPEAR Speech Recognition System delivers superior recognition accuracy in high noise environments. SPEAR provides both command recognition and free-from transcription, and can be used in Linux, Windows and Android environments. When used with TAM’s in-ear voice capture earpiece, it provides industry leading speech recognition performance.
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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
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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 / 6 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 / 8 months ago
Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0.
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
Kaldi ASR - Kaldi is an automatic speech recognition toolkit that supports linear transforms, MMI, boosted MMI and MCE discriminative training, feature-space discriminative training, and deep neural networks.
AssemblyAI - Speech Recognition for Everyone and Everything.
OnPay - Payroll and HR that make business a breeze
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…