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Speechmatics is a leading Voice AI API company that provides advanced speech recognition technology. It is designed to convert spoken language into text with high accuracy, supporting a wide range of languages and dialects. This tool is widely used in various applications, including transcription services, voice command systems, and more.
One common issue encountered by engineers using Speechmatics is the 'Audio File Encoding Error.' This error typically arises when there is a problem with the encoding format of the audio file being processed. Users may observe that the API fails to transcribe the audio, or it returns an error message indicating an unsupported encoding format.
When this error occurs, you might notice the following symptoms:
The root cause of the 'Audio File Encoding Error' is typically due to the audio file being encoded in a format that is not supported by Speechmatics. Common unsupported formats include certain bit rates, sample rates, or codecs that are not compatible with the API's requirements.
Some of the formats that might cause issues include:
To fix the 'Audio File Encoding Error,' you need to re-encode your audio file using a supported format. Here are the detailed steps:
First, determine the current encoding of your audio file. You can use tools like FFmpeg to inspect the file:
ffmpeg -i your-audio-file.wav
This command will display the audio file's properties, including codec, bit rate, and sample rate.
Once you have identified the current encoding, re-encode the file to a supported format. For example, to convert the file to a standard WAV format with a 16-bit PCM codec and a 44.1 kHz sample rate, use the following FFmpeg command:
ffmpeg -i your-audio-file.wav -acodec pcm_s16le -ar 44100 output-file.wav
This command ensures that the audio file is in a format compatible with Speechmatics.
By following these steps, you can resolve the 'Audio File Encoding Error' and ensure that your audio files are processed correctly by the Speechmatics API. For more information on supported formats, visit the Speechmatics documentation.
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