OmniSenseVoice

Ultra-fast speech recognition with precise timestamps

CommonProductProductivitySpeech RecognitionTimestamping

OmniSenseVoice is an optimized speech recognition model based on SenseVoice, designed for rapid inference and accurate timestamps, providing a smarter and faster way to transcribe audio.

Supports automatic language detection or specification (auto
Chinese
English
Cantonese
Japanese
Korean).
Offers text normalization options
allowing for reverse text normalization.
Can run on specific GPUs
with CPU as the default.

The target audience includes businesses and developers in need of voice transcription
audio analysis
and real-time speech recognition. The high-speed processing capabilities and precise timestamp functions of OmniSenseVoice make it especially suitable for scenarios requiring rapid processing of large volumes of voice data
such as meeting notes
lecture transcriptions

Real-time speech transcription for meetings
generating timestamped meeting notes.
Transcription of online course content
providing students with timestamped lecture notes.
Real-time translation applications delivering fast and accurate speech translation services.

1. Install the OmniSenseVoice model.
2. Set the language parameter as needed
for example: --language zh.
3. Choose whether to perform text normalization
for example: --textnorm woitn.

Visit

OmniSenseVoice Visit Over Time

Monthly Visits

515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

OmniSenseVoice Visit Trend

OmniSenseVoice Visit Geography

OmniSenseVoice Traffic Sources

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OmniSenseVoice

OmniSenseVoice Visit Over Time

OmniSenseVoice Visit Trend

OmniSenseVoice Visit Geography

OmniSenseVoice Traffic Sources

OmniSenseVoice Alternatives

ManiSkill — An open-source robotic simulation platform designed for generating unlimited robot data and generalizing AI.

Transcribro — Private, on-device speech recognition keyboard and text service on the Android platform.

FunASR — A powerful offline voice file transcription service.

Praises — A text-to-speech tool that helps you easily read text.

Reverb — Open-source inference code for speech recognition and speaker segmentation models.

Mini-Omni — An open-source multimodal large language model that supports real-time voice input and streaming audio output.

OpenVoiceChat — Engage in natural voice conversations with large language models.

Seed-ASR — Speech recognition technology based on large language models.

speech-to-speech — Open-source speech-to-speech conversion module

WeST — Implement speech transcription based on LLM in just 300 lines of code.

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FunAudioLLM — Foundation model for natural voice interaction understanding and generation

Azure Cognitive Services Speech — Enables applications to interact intelligently through the conversion of speech to text and vice versa.

DeepSeek-Coder-V2-Lite-Base — An open-source code language model designed to enhance programming and mathematical reasoning abilities.

Qwen1.5-110B — The first petabyte-scale open-source model in the Qwen1.5 series, supporting multilingual functionality and an efficient Transformer decoder architecture.

Whisper Turbo — Whisper Accelerator leverages GPU acceleration for speech recognition.

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TurboScribe — Unlimited audio and video transcription, supporting 98+ languages

ElevenLabs Projects — A comprehensive workflow for converting books into audiobooks and scripts into podcasts.

Kaka Subtitle Assistant — An intelligent subtitle assistant based on LLM, generating high-quality video subtitles with one click

Archgw — An open-source GenAI application gateway for rapidly building personalized AI applications.

Neural Magic — Experts in AI model deployment and inference optimization

llama-ocr — A free npm library that utilizes Llama 3.2 Vision for OCR, outputting text in markdown format.

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