Whisper vs. TrulyNatural

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.

Sensory is a pioneer in the realm of embedded neural network-enabled speech recognition, positioning itself as a top player in the creation and refinement of speech recognition software that functions effectively on minimal resources and low MIPS consumption. Their rich experience and continuous advancements have led to the development of the first embedded large vocabulary continuous-speech recognizer (LVCSR), which competes with the performance of cloud-based alternatives. Unlike typical voice recognition systems in smartphones and mobile devices—such as those using voice assistants like Alexa, Google Assistant, Siri, and Cortana—Sensory’s technology is built directly into devices, negating the need for a Wi-Fi connection. Many users favor solutions that operate independently of cloud services for superior speech recognition, while others seek a hybrid model that merges both client and cloud functionalities for enhanced performance. As privacy, efficiency, and bandwidth concerns mount, there is an increasing inclination toward edge processing, thus amplifying Sensory’s importance in the industry. This trend not only boosts functionality but also meets the demand for improved user control over personal data, making Sensory's innovations more significant than ever. Ultimately, the company's commitment to advancing speech recognition technology positions it as a crucial player in a rapidly evolving market.