Product improvements

We've fixed an issue which was causing the JavaScript SDK to surface the following error when using the SDK in the browser:

Access to fetch at 'https://api.assemblyai.com/v2/transcript' from origin 'https://exampleurl.com' has been blocked by CORS policy: Request header field assemblyai-agent is not allowed by Access-Control-Allow-Headers in preflight response.

We've made significant improvements to the timestamp accuracy of our Speech-to-Text Best tier for English, Spanish, and German. 96% of timestamps are accurate within 200ms, and 86% of timestamps are now accurate within 100ms.

We've fixed a bug in which confidence scores of transcribed words for the Nano tier would sometimes be outside of the range [0, 1]

We've fixed a rare issue in which the speech for only one channel in a short dual channel file would be transcribed when disfluencies was also enabled.

We've made model improvements that significantly improve the accuracy of timestamps when using our Streaming Speech-to-Text service. Most timestamps are now accurate within 100 ms.

Our Streaming Speech-to-Text service will now return a new error 'Audio too small to be transcoded' (code 4034) when a client submits an audio chunk that is too small to be transcoded (less than 10 ms).

We've deployed changes which now permit variable-bitrate video files to be submitted to our API.

We've fixed a recent bug in which audio files with a large amount of silence at the beginning of the file would fail to transcribe.

We have added two new keys to the LeMUR response, input_tokens and output_tokens, which can help users track usage.

We've implemented a new fallback system to further boost the reliability of LeMUR.

We have addressed an edge case issue affecting LeMUR and certain XML tags. In particular, when LeMUR responds with a <question> XML tag, it will now always close it with a </question> tag rather than erroneous tags which would sometimes be returned (e.g. </answer>).