You can control various elements of the text to speech processes such as speed, volume, pitch, pronunciation, and other elements using The Speech Synthesis Markup Language (SSML). Using as little as an hour of recorded audio, you can create your custom voice and use it to read text out loud to you. IBM Text to Speech makes use of concatenative synthesis and deep neural networks that are trained on human speech to produce the most natural-sounding voice. The tool comes with a wide range of features as indicated below. IBM text to speech scans text and generates human-like audio. In addition to speech to text, IBM also offers a text to speech service. The fee charged per minute reduces with increased usage. Once this is exhausted, users pay on a per-minute basis. IBM Speech to text comes with a free tier that allows a user to convert up to 500 minutes of audio monthly. A maximum of 1,000 words can be spotted in a single request with 1,024 characters being the maximum length of one keyword. This is a great tool to filter out profanity, offensive slurs, and other undesired words. When enabled, the system will spot unwanted words and filter them out. This feature is currently available in US English. This feature is also not enabled by default and must be activated by the user. Examples where this would be applicable include email addresses, telephone numbers, dates, currencies, and more. With IBM Watson speech to text, you can convert text into conventional forms in your final transcript and make it more readable. The user has to enable it by setting the redaction parameter to “True,” and the redaction is applied to the final transcript before returning results to the user. Sensitive user data such as credit card numbers, telephone numbers, and emails are protected through numeric data’s redaction. This feature is ideal for meeting transcripts and call center records. The transcript output is labeled to identify each speaker. It is optimized for two-way call center conversations but can recognize up to 6 speakers in an audio file. This feature of IBM speech to text enables the recognition of multiple voices. This feature allows users to expand and customize the vocabulary for a specific domain in a matter of minutes. To improve accuracy for fields such as law, medicine, and technology, users make use of language model customization. However, esoteric terms that are specific to certain domains are not included. The base vocabulary has thousands of words used in normal daily conversation, and the technology accurately recognizes many words. IBM speech recognition was developed with a broad audience in mind. Broadband models typically apply in the case of live speech or real-time applications, while narrowband models are better suited to telephone speech. Broadband models are used where the audio frequency is greater than or equal to 16 kHz, while narrowband models are used where the audio frequency is 8 kHz. Broadband and narrowband models are supported for a large number of languages. You can choose from a wide range of models across several languages that support telephone speech and Voice over Internet Protocol (VoIP) frequencies. With interim results, a user can quickly gauge the quality of the audio file and decide whether to proceed with the batch job or terminate it. They are useful for long audio files that can take time to transcribe, real-time transcription, and interactive applications. These interim results are likely to change before the final output is generated. IBM Watson speech to text is one of the few services that offer an interim result before the final transcription is complete. Interim Transcription Before Final Results It also offers solutions when problems are identified, such as asking the user to move closer to the mic. When there is a problem with the input, the tool provides feedback, such as letting you know there is too much background noise. This feature also provides the user with real-time feedback on the quality of the input audio. These metrics are available at the end of the transcription and can provide actionable insights to technical users. IBM Speech to Text – Real-time Audio DiagnosticsĪdvanced audio metrics provides detailed information on the audio signal characteristics. IBM voice recognition supports ten audio formats, and, in most cases, the format is automatically detected. A maximum of 100Mb can be sent to IBM speech to text via a single synchronous HTTP or WebSocket request. Compression reduces the audio file size and maximizes the amount of data a user can pass to the service. The tool identifies each format and displays its supported compression. Many file compression formats are supported. You can stream audio in real-time directly from an application or upload recorded audio. IBM Speech to Text – Several Audio Transmission Choices
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