Google Cloud Text-to-Speech Reviews

Deepgram Reviews

1. suz11

   11 months ago
   Fast

   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

   🏁 Competitors: Picovoice.ai, Google Cloud Speech API, AssemblyAI, Speechmatics, Microsoft Azure, Amazon

   👍 Pros:    Fast|Fast sales|A free demo|Supports multiple languages

   👎 Cons:    Slow support for free customers|Limited free version

Google Cloud Text-to-Speech mentions (59)

• Hindi Conversational Text-to-Speech

  My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / about 2 months ago

• Mini Kore Anki Deck with Audio

  I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: 12 months ago

• 📽️ Introducing Swiftube - Make simple talking-head videos in React ⚛️

  Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: 12 months ago

• Text to speech still sucks

  Text-to-Speech: Lifelike Speech Synthesis  |  Google Cloud. Source: about 1 year ago

• Get Started Making Music

  Thanks! The synth is Dreamtonics' Synthesizer V, using the SOLARIA voice database from Eclipsed Sounds. What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for. - Source: Hacker News / about 1 year ago

Deepgram mentions (27)

• Building a Live Proctoring System to Detect Multiple Speakers

  Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / 5 months ago

• How do I begin building AI tools for myself?

  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: 6 months ago

• Use Langchain, Deepgram, and Mistral 7B to Build a Youtube Video Summarization App

  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

• Create a realtime closed captioning solution with Deepgram and Ably

  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 / 7 months ago

• Introducing Daily's AI-powered Clinical Notes API

  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