Whisper vs. SpokenData

We are excited to announce the launch of Whisper, an open-source neural network that delivers accuracy and robustness in English speech recognition that rivals that of human abilities. This automatic speech recognition (ASR) system has been meticulously trained using a vast dataset of 680,000 hours of multilingual and multitask supervised data sourced from the internet. Our findings indicate that employing such a rich and diverse dataset greatly enhances the system's performance in adapting to various accents, background noise, and specialized jargon. Moreover, Whisper not only supports transcription in multiple languages but also offers translation capabilities into English from those languages. To facilitate the development of real-world applications and to encourage ongoing research in the domain of effective speech processing, we are providing access to both the models and the inference code. The Whisper architecture is designed with a simple end-to-end approach, leveraging an encoder-decoder Transformer framework. The input audio is segmented into 30-second intervals, which are then converted into log-Mel spectrograms before entering the encoder. By democratizing access to this technology, we aspire to inspire new advancements in the realm of speech recognition and its applications across different industries. Our commitment to open-source principles ensures that developers worldwide can collaboratively enhance and refine these tools for future innovations.

Leverage our advanced automatic speech-to-text technology for transcribing your audio content, or choose the manual transcription route or professional services to suit your needs. With our online time-synchronous editor, you can easily navigate through your data and its corresponding transcripts. Transcripts can be conveniently downloaded in multiple file formats to cater to your requirements. Efficiently manage your team of transcribers using tags and categories while offering them support through our automatic voice-to-text capabilities. Integrate SpokenData into your applications with our REST API, which is crafted to improve transcription accuracy by tailoring voice-to-text functions to your specific data domain, ultimately lowering labor expenses. By incorporating speech technologies within your applications via our API, you can effectively manage substantial amounts of data. Our customizable API is designed to meet your specific needs, and our dedicated support team is always available to help. Our voice-to-text solutions are meticulously tailored to your data and its intended application, guaranteeing high accuracy in your transcripts. This service proves to be particularly beneficial for web and mobile app developers, media monitoring agencies, and businesses engaged in audio or video archiving, making it an invaluable asset across countless industries. Furthermore, our unwavering commitment to precision and customization will significantly enhance the efficiency of your transcription workflow, providing you with better results. By choosing our services, you can ensure that your transcription needs are met with the highest standards.